#  Executive Summary

This deliverable is the first version of the project Data Management Plan
(DMP) and includes the initial information about the data that will be used by
CANDELA project.

The first DMP version follows the guidelines of the template provided by the
European Commission (Template Horizon 2020 Data Management Plan [1] [2]). The
Data Management task (T5.3) is included within the Project Management and
Coordination work package (WP5).

Following the aforementioned template, the document provided the initial rules
to achieve the FAIR principle for the project datasets.

This document includes dataset information for the project subcases (see
deliverables [3] and [4], Urbanization, Vineyard, Forest Disaster and Forest
Health). The information for each project dataset has been provided with the
same structure:

  * Dataset reference 

  

  * Dataset Description 

  

  * Standards and metadata 

  

  * Data Sharing 

  

  * Archiving and preservation 

  

The document also provides information about Additional Datasets that will be
used in the project, although detailed information will be provided at due
time in the DWH project documents [5].

#  Introduction

##  Purpose of the document

The purpose of the DMP is to provide an analysis of the main elements of the
data management policy that will be used by the project [6]. Following the DMP
template, this document provides for each dataset:

  * Identifier and description 

  

  * Reference to existing suitable standards 

  

  * Description about data sharing and preservation 

  

During the project lifetime, the document needs to be updated, so it has been
planned the release of three versions of the CANDELA DMP.

  * D5.4 DMP v1: the first version of the document based on the DMP template provided by the European Commission [1][2]. 

  

  * D5.5 DMP v2: the DMP will evolve and will be updated in October 2019 (M18). 

  

  * D5.6 DMP v3: the final version of the document is planned in October 2020 (M30) 

  

##  Relation to other project work

CANDELA project has planned reports about the request of Additional Datasets
thorough the Data Warehouse mechanism managed by ESA. The different versions
of the DMP will include the reference to these reports.

##  Structure of the document

This document is structured in four major chapters described below:

  * **Chapter 2** presents the Data Management Plan (FAIR data principle) 

  

  * **Chapter 3** presents the CANDELA project Datasets 

  

  * **Chapter 4** presents Additional Datasets 

  

  * **Chapter 5** presents the conclusions 

  

#  Data management Plan

This section provides the initial information according to the DMP template
[1][2] in order to achieve the FAIR principle for the project datasets.

##  FAIR data

According to the DMP template, the CANDELA research data should be “FAIR”:
Findable, Accessible, Interoperable and Re-usable. This section describes the
procedures to follow the FAIR principle.

###  Making data findable, including provisions for metadata

The CANDELA platform is built upon the CreoDIAS basis platform. Most of the
dataset used in the context of CANDELA are or will be directly retrieved
through API provided by CreoDIAS: Sentinel 1 and 2 images, Landsat images,
other Copernicus data...

CreoDIAS provides a catalogue service containing information about:

  * scenes/tiles 

  

  * orbits 

  

  * all available meta-data for individual scene and orbit 

  

  * link to quick-look images 

  

  * support for various processing levels (L1C, L2A, etc.) 

  

  * information about planned future acquisitions with a rich number of criteria (including at least satellite unit, instrument mode, polarisation, geographical area, time window) The catalogue service supports querying based on number of criteria: 

  

  * geographical area 

    * bounding box (rectangle) 

  

    * geometry (e.g. for agriculture fields) 

  

  

  * mission/sensor 

  

  * cloud coverage 

    * based on scene meta-data 

  

    * if more detailed cloud data are available, also based on location 

  

  

  * time interval 

    * absolute based on "date" or "date and time" ranges defined using ISO8601 standard (from, to, from/to) 

  

    * relative time intervals ("last week", "last month", last 2 months", "from last 6 months up to last 3 months", etc.) 

  

    * advanced time intervals ("months May-August in from 1985 to 2016) 

  

  

  * mosaicking priority (most recent/least recent/least cloudy) INSPIRE and GEOSS compatibility is ensured for relevant data-sets. 

  

Dataset produced in the frame of CANDELA will also be catalogued to make them
findable. In the beginning, data will be referenced in a CANDELA specific
catalogue but extending the referencing to the CreoDIAS catalogue is an
interesting option. The data can be managed using a data processing server
such as GeoServer [7] while a metadata catalogue such as GeoNetwork [8] can be
used to manage the metadata.

On the other hand, a GeoNetwork catalogue provides capabilities to describe
data standards (Inspire and ISO). It also allows searching data with keywords
or geographical extents. The following information can be used to create
metadata files:

  * Metadata file creation date. 

  

  * Version of the data. 

  

  * Projection. 

  

  * Acquisition date. 

  

  * Resolution. 

  

  * Acquisition sensor. 

  

The previous information will help making the data discoverable.

###  Making data openly accessible

Once the datasets are on the CANDELA platform, access permissions (who can
access what) can be defined. Depending on the willingness of the data owner, a
data sharing strategy will be drawn. Possible access permissions can be:

  * Data without any restriction: all users can visualize, edit and download data without constraints. 

  

  * Protected data: rights will be defined for users in order to visualize, edit or download the data. 

  

###  Making data interoperable

Datasets on the CANDELA platform will be interoperable due to their complaint
with international standards such as Web Feature Service (WFS), Web Map
Service (WMS) and Web Coverage Service (WCS). GeoServer and OWSLib [9] Python
library are used as implementation of these protocols.

It is worth noting that additional standards can be defined in the life cycle
of the project. For example, all satellite images will be in JPEG2000 or
GeoTIFF format and they will be associated with metadata and provided through
WMS services.

###  Increase data re-use (through clarifying licenses)

For open source data such as Sentinel images, use licenses are indicated in
the metadata files. Users need to check these licenses before using or sharing
the data. On the other hand, use strategies will be defined for data and
services that will be produced as part of the project.

#  CANDELA project datasets

##  SUC1_Urbanization

This sub-use case is concerned with studying the effect of urban expansion on
agricultural areas due to the continuous development of human settlements and
climatic changes in the regions of Sicoval, Bordeaux and Milan. These regions
of interest are well known for the continuous build-up of urban areas and
richness and agricultural zones. Hence, the following datasets have been
identified:

  * Sentinel-2 images will be used to validate the change detection algorithm developed by TAS FR. 

  

  * Optical VHR1 & 2 images such as SPOT6/7 and Pleiades to test the change detection algorithm developed by TAS FR. 

  

  * Sentinel-1 images to validate the change detection algorithm developed by TAS IT. 

  

  * SAR VHR1 & 2 images such as TerraSAR-X to test the change detection algorithm developed by TAS IT. 

  

###  Dataset reference and name  
  
<table>  
<tr>  
<th>

**Dataset**

</th>  
<th>

**Summary**

</th> </tr>  
<tr>  
<td>

Sentinel-2

</td>  
<td>

Sentinel-2 satellite images are optical datasets produced as part of the EU
Copernicus program.

These data are collected from Sentinel-2 mission that comprises a
constellation of two polar-orbiting satellites.

Images coming from Sentinel-2 mission are characterized with a rich spectral
resolution (13 bands), a high spatial resolution (10m panchromatic band) and a
high acquisition frequency (5 days in cloudfree conditions). Hence, they are
very suitable for monitoring variability in land surface.

The datasets are in ESA SAFE format and contain inside one tile with all
spectral bands.

</td> </tr>  
<tr>  
<td>

SPOT6/7

</td>  
<td>

SPOT6/7 is a commercial mission series to continue sustainable wideswath and
high-resolution optical earth observation provided by SPOT 5\. The SPOT6/7
mission allows for a high level of coverage up to 60-km image swath.
Additionally, images acquired by SPOT6/7 have a very high spatial resolution
(1.5m). SPOT6/7 has also the capacity of daily revisit due to the phase
constellation of SPOT6 and SPOT7. A SPOT6/7 satellite image consists of 4
spectral bands (B,G,R and NIR) at 6 m and a panchromatic band at 1.5 m.

</td> </tr>  
<tr>  
<td>

Pleiades

</td>  
<td>

Pleiades is a constellation of two very high-resolution sensors that is able
to acquire any point on earth in under 24 hours. Pleaides has a narrower field
of view when compared to SPOT6/7. However, it provides images with a finer
spatial resolution (50 cm). Pleiades images also have 4 spectral bands at 2 m
and a panchromatic band at 50 cm.

</td> </tr>  
<tr>  
<td>

Sentinel-1

</td>  
<td>

Sentinel-1 satellite images are SAR datasets produced as part of the EU
Copernicus program. The Sentinel-1 mission consists of two satellites
operating day and night to perform C-band synthetic aperture radar imaging and
allow an acquisition frequency of 6 days for the same place. Data are acquired
according to different modes and the one that will be used for this use case
is the Interferometric Wideswath mode (IW). This mode exists at different
level of correction, namely, the Single Look Complex (SLC) and the Ground
Range Detected (GRD).

</td> </tr>  
<tr>  
<td>

TerraSAR-X

</td>  
<td>

TerraSAR-X is a mission that aims are providing very high-resolution SAR
images for scientific and commercial applications. This mission allows the
acquisition of SAR images using different modes such as Staring SpotLight (ST)
and ScanSAR (SC). TerraSAR-X products are available with different correction
levels such as Single Look Slant Range Complex and Mutli Look Ground Range
Detected.

</td> </tr> </table>

###  Dataset description  
  
<table>  
<tr>  
<th>

**ROI**

</th>  
<th>

**Dataset**

</th>  
<th>

**Description**

</th> </tr>  
<tr>  
<td>

_Sicoval_

</td>  
<td>

_Sentinel-2_

</td>  
<td>

  * _Period: Images acquired in the period between 2016 and 2019._

  

  * _Surface: 700 km2._

  

  * _Coordinates: xMin,yMin 1.39661,43.3902 : xMax,yMax_

  

_1.71621,43.5669 (WGS84)._

  * _S2 tilles: 31TCJ._

  

</td> </tr>  
<tr>  
<td>

_Optical VHR_

_(SPOT6/7,_

_Pleiades,_

_WorldView)_

</td>  
<td>

  * _Period: Images acquired in the period between summer 2013 and summer 2019._

  

  * _Surface: 700 km2._

  

  * _Coordinates: xMin,yMin 1.39661,43.3902 : xMax,yMax_

  

_1.71621,43.5669 (WGS84)._

</td> </tr>  
<tr>  
<td>

_Sentinel-1_

</td>  
<td>

  * _Period: Images acquired in the period between 2016 and 2019._

  

  * _Surface: 700 km2._

  

  * _Coordinates: xMin,yMin 1.39661,43.3902 : xMax,yMax_

  

_1.71621,43.5669 (WGS84)._

</td> </tr>  
<tr>  
<td>

_SAR VHR_

_(TerraSAR-X)_

</td>  
<td>

  * _Period: Images acquired in the period between summer 2013 and summer 2019._

  

  * _Surface: 700 km2._

  

  * _Coordinates: xMin,yMin 1.39661,43.3902 : xMax,yMax_

  

_1.71621,43.5669 (WGS84)._

</td> </tr>  
<tr>  
<td>

_Bordeaux_

</td>  
<td>

_Sentinel-2_

</td>  
<td>

  * _Period: Images acquired in the period between 2016 and 2019._

  

  * _Surface: 500 km2._

  

  * _Coordinates: xMin,yMin -0.703984,44.7483 : xMax,yMax -_

  

_0.46762,44.9188 (WGS84)._

  * _S2 tilles: 30TXQ._

  

</td> </tr>  
<tr>  
<td>

</td>  
<td>

_Optical VHR_

_(SPOT6/7,_

_Pleiades,_

_WorldView)_

</td>  
<td>

•

•

•

</td>  
<td>

_Period: Images acquired in the period between summer 2013 and summer 2019._

_Surface: 500 km2._

_Coordinates: xMin,yMin -0.703984,44.7483 : xMax,yMax -_

_0.46762,44.9188 (WGS84)._

</td> </tr>  
<tr>  
<td>

_Sentinel-1_

</td>  
<td>

•

</td>  
<td>

_Period: Images acquired in the period between 2016 and 2019._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Surface: 500 km2._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Coordinates: xMin,yMin -0.703984,44.7483 : xMax,yMax 0.46762,44.9188
(WGS84)._

</td> </tr>  
<tr>  
<td>

_SAR VHR_

_(TerraSAR-X)_

</td>  
<td>

•

</td>  
<td>

_Period: Images acquired in the period between summer 2013 and summer 2019._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Surface: 500 km2._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Coordinates: xMin,yMin -0.703984,44.7483 : xMax,yMax 0.46762,44.9188
(WGS84)._

</td> </tr>  
<tr>  
<td>

_Milan_

</td>  
<td>

_Sentinel-2_

</td>  
<td>

•

</td>  
<td>

_Period: Images acquired in the period between 2016 and 2019._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Surface: 500 km2._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Coordinates: xMin,yMin 9.05816,45.3628 : xMax,yMax 9.29786,45.5361 (WGS84)._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_S2 tilles: 32TNR._

</td> </tr>  
<tr>  
<td>

_Optical VHR_

_(SPOT6/7,_

_Pleiades,_

_WorldView)_

</td>  
<td>

•

•

•

</td>  
<td>

_Period: Images acquired in the period between summer 2013 and summer 2019._

_Surface: 500 km2._

_Coordinates: xMin,yMin 9.05816,45.3628 : xMax,yMax_

_9.29786,45.5361 (WGS84)._

</td> </tr>  
<tr>  
<td>

_Sentinel-1_

</td>  
<td>

•

</td>  
<td>

_Period: Images acquired in the period between 2016 and 2019._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Surface: 500 km2._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Coordinates: xMin,yMin 9.05816,45.3628 : xMax,yMax 9.29786,45.5361 (WGS84)._

</td> </tr>  
<tr>  
<td>

_SAR VHR_

_(TerraSAR-X)_

</td>  
<td>

•

</td>  
<td>

_Period: Images acquired in the period between summer 2013 and summer 2019._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Surface: 500 km2._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Coordinates: xMin,yMin 9.05816,45.3628 : xMax,yMax 9.29786,45.5361 (WGS84)._

</td> </tr> </table>

###  Standards and metadata  
  
<table>  
<tr>  
<th>

**Dataset**

</th>  
<th>

**Standards**

</th>  
<th>

**Metadata**

</th> </tr>  
<tr>  
<td>

Sentinel-2  _https://sentinel.esa.int/web/se_ _ntinel/user-
guides/sentinel-2msi/data-formats_

</td>  
<td>

13 JPEG2000 images, one for each band.

</td>  
<td>

XML file

</td> </tr>  
<tr>  
<td>

SPOT6/7  _https://www.intelligenceairbusds.com/en/8723pleiades-and-
spot-6-7-formatdelivery_

</td>  
<td>

2 JPEG2000 images, one for the B,G,R and NIR bands at 6 m spatial resolution
and the other for the panchromatic band at 1.5 m spatial resolution.

</td>  
<td>

XML file

</td> </tr>  
<tr>  
<td>

Pleiades  _https://www.intelligenceairbusds.com/en/8723pleiades-and-
spot-6-7-formatdelivery_

</td>  
<td>

2 JPEG2000 images, one for the B,G,R and NIR bands at 2 m spatial resolution
and the other for the panchromatic band at 0.5 m spatial resolution.

</td>  
<td>

XML file

</td> </tr>  
<tr>  
<td>

Sentinel-1  _https://earth.esa.int/web/sent_ _inel/technical-guides/sentinel-_

_1-sar/products-_

_algorithms/level-1-productformatting_

</td>  
<td>

Image data are stored in a Geotiff format.

</td>  
<td>

XML file, geotiff SAR image &

GTiff image

</td> </tr>  
<tr>  
<td>

TerraSAR-X  _https://www.intelligenceairbusds.com/files/pmedia/pu_
_blic/r459_9_20171004_tsxxairbusds-ma-0009_tsxproductguide_i2.01.pdf_

</td>  
<td>

DLF COSAR binary format.

</td>  
<td>

XML file

</td> </tr> </table>

###  Data Sharing

Sentinel-1 and Sentinel-2 data are free of charge and can be downloaded from
Copernicus Open Access Hub upon subscription. However, SPOT6/7 and Pleaides
images are commercial data and can only be accessed by project partners.

###  Archiving and preservation

All the data described above will be conserved on the data server of the
platform during all the project life time for demonstration purposes. However,
since some datasets are commercial ones, they will have access restrictions.

##  SUC2_Vineyard

This sub-use case aims at assessing the damage level in vineyards caused by
natural hazards such as frost and hail. For this purpose, the following
datasets were identified for this sub-use case:

  * Since the assessment of vineyards damage needs to be done as soon as the event happens, Sentinel 2 images will be used for this use case. 

  

  * In a further step and once good results are obtained using Sentinel-2 images, very highresolution images, such as SPOT 6/7 and Pleiades, will be also considered. (Dates of the HR images to be defined) 

  

###  Dataset reference and name  
  
<table>  
<tr>  
<th>

**Dataset**

</th>  
<th>

**Summary**

</th> </tr>  
<tr>  
<td>

Sentinel-2

</td>  
<td>

Sentinel-2 satellite images are optical datasets produced as part of the EU
Copernicus program.

These data are collected from Sentinel-2 mission that comprises a
constellation of two polar-orbiting satellites.

Images coming from Sentinel-2 mission are characterized with a rich spectral
resolution (13 bands), a high spatial resolution (10m panchromatic band) and a
high acquisition frequency (5 days in cloudfree conditions). Hence, they are
very suitable for monitoring variability in land surface.

The datasets are in ESA SAFE format and contain inside one tile with all
spectral bands.

</td> </tr>  
<tr>  
<td>

SPOT6/7

</td>  
<td>

SPOT6/7 is a commercial mission series to continue sustainable wideswath and
high-resolution optical earth observation provided by SPOT 5\. The SPOT6/7
mission allows for a high level of coverage up to 60-km image swath.
Additionally, images acquired by SPOT6/7 have a very high spatial resolution
(1.5m). SPOT6/7 has also the capacity of daily revisit due to the phase
constellation of SPOT6 and SPOT7. A SPOT6/7 satellite image consists of 4
spectral bands (B,G,R and NIR) at 6 m and a panchromatic band at 1.5 m.

</td> </tr>  
<tr>  
<td>

Pleiades

</td>  
<td>

Pleiades is a constellation of two very high-resolution sensors that is able
to acquire any point on earth in under 24 hours. Pleaides has a narrower field
of view when compared to SPOT6/7. However, it provides images with a finer
spatial resolution (50 cm). Pleiades images also have 4 spectral bands at 2 m
and a panchromatic band at 50 cm.

</td> </tr> </table>

###  Dataset description  
  
<table>  
<tr>  
<th>

**ROI**

</th>  
<th>

**Dataset**

</th>  
<th>

**Description**

</th> </tr>  
<tr>  
<td>

_Bordeaux vineyards_

</td>  
<td>

_Sentinel-2_

</td>  
<td>

  * _Period: two Images, the first one was acquired on 19 th  April 2017 and the second image on the 29  th  April 2017 (after and before a frost event). _

  

  * _Surface: 1233 km 2  . _

  

  * _Coordinates: xMin,yMin -0.374589,44.5206 : xMax,yMax 0.0949954,44.7976 (WGS84)._

  

  * _S2 tilles: 30TYQ._

  

</td> </tr> </table>

###  Standards and metadata  
  
<table>  
<tr>  
<th>

**Dataset**

</th>  
<th>

**Standards**

</th>  
<th>

**Metadata**

</th> </tr>  
<tr>  
<td>

Sentinel-2
_https://sentinel.esa.int/web/sentinel/userguides/sentinel-2-msi/data-formats_

</td>  
<td>

13 JPEG2000 images, one for each band.

</td>  
<td>

XML file

</td> </tr> </table>

###  Data Sharing

Sentinel-2 data are free of charge and can be downloaded from Copernicus Open
Access Hub upon subscription.

###  Archiving and preservation

All the data described above will be conserved on the data server of the
platform during all the project life time for demonstration purposes. However,
since some datasets are commercial ones, they will have access restrictions.

##  SUC3_ Forest-Disaster

This case concerns occurring disasters in forests (windfalls) on the example
of RDLP Toruń in 2017. The study plans to analyze the extent of the occurrence
of the disaster, study the area and extent of damage. An analysis of the
activities carried out by the forestry services in the areas affected by the
disaster is also carried out. These include forest management, reclamation,
planting or permission to self-heal the forest.

Satellite images acquired using different sensors can be used for this sub-use
case.

  * Sentinel-2 and Sentinel 1 datasets will be used to create binary change detection layer with information about areas that were affected by windthrow. For this purpose, Sentinel satellites appear to be adequate solution, as they provide large area coverage and frequent 5 days revisit time. 

  

  * VHR satellites (like SPOT 6/7, WorldView) will be used to determine percentage of damage in the indicated area and to create progress repair forest 

  

###  Dataset reference and name  
  
<table>  
<tr>  
<th>

**Dataset**

</th>  
<th>

**Summary**

</th> </tr>  
<tr>  
<td>

Sentinel-1

</td>  
<td>

First satellite in Copernicus Program with C-SAR instrument which can operate
in four imaging modes with different resolution (down to 25m). The mission is
composed of two satellites, sharing the same orbital plane.

</td> </tr>  
<tr>  
<td>

Setninel-2

</td>  
<td>

Sentinel-2 satellite images are optical datasets gathered within the EU
Copernicus program.

The Sentinel-2 mission from which the data originates consists of a
constellation of two satellites orbiting the Earth. Characteristics of
Sentinel-2 based images are: rich spectral resolution (13 bands), a high
spatial resolution (10m panchromatic band) and a high acquisition frequency (5
days in cloud-free conditions).

</td> </tr>  
<tr>  
<td>

SPOT 6/7

</td>  
<td>

SPOT 6/7 are series of commercial missions, succeeding SPOT 5, that provided
sustainable Earth observation of high resolution with optical sensors.
Satellite images obtained by SPOT 6/7 consists of 5 spectral bands – blue,
green, red, near infrared and panchromatic. Spatial resolution of first 4 ones
is 6 m, while GSD of panchromatic band is 1.5 m. Constellation of SPOT6/7
allows daily revisit, and its swath is up to 60 km wide.

</td> </tr>  
<tr>  
<td>

WorldView3

</td>  
<td>

WorldView is a series of commercial Earth observing missions operated by
DigitalGlobe. Its most distinguishing characteristic is very high spatial
resolution. The latest mission – WorldView 4 provides images in multispectral
channels: blue, green, red at spatial resolution of 124 cm/pixel and 31
cm/pixel for panchromatic images. Its repeat interval is 3 days.

</td> </tr> </table>

###  Dataset description  
  
<table>  
<tr>  
<th>

**ROI**

</th>  
<th>

**Dataset**

</th>  
<th>

**Description**

</th> </tr>  
<tr>  
<td>

_Torun_1_

</td>  
<td>

_Sentinel-1_

</td>  
<td>

  * _Period: Images acquired just before 12.08.2017 and after_

  

  * _Surface: 700 km2._

  

  * _Coordinates: xMin,yMin 17.2997, 53.20327 : xMax,yMax 17.73748,_

  

_53.46858 (WGS84)_

</td> </tr>  
<tr>  
<td>

_Sentinel-2_

</td>  
<td>

  * _Period: Images acquired just before 12.08.2017 and after_

  

  * _Surface: 700 km2._

  

  * _Coordinates: xMin,yMin 17.2997, 53.20327 : xMax,yMax 17.73748, 53.46858 (WGS84)_

  

</td> </tr>  
<tr>  
<td>

_Optical VHR_

_(SPOT6/7,_

_Pleiades,_

_WorldView)_

</td>  
<td>

  * _Period: Images acquired just before 12.08.2017 and after_

  

  * _Surface: 700 km2._

  

  * _Coordinates: xMin,yMin 17.2997, 53.20327 : xMax,yMax 17.73748, 53.46858 (WGS84)_

  

</td> </tr> </table>  
<table>  
<tr>  
<th>

**ROI**

</th>  
<th>

**Dataset**

</th>  
<th>

**Description**

</th> </tr>  
<tr>  
<td>

_Torun_2_

</td>  
<td>

_Sentinel-1_

</td>  
<td>

  * _Period: Images acquired just before 12.08.2017 and after_

  

  * _Surface: 860 km2._

  

  * _Coordinates: xMin,yMin 17.409115, 53.651802 : xMax,yMax 17.810054, 53.888559 (WGS84)_

  

</td> </tr>  
<tr>  
<td>

_Sentinel-2_

</td>  
<td>

  * _Period: Images acquired just before 12.08.2017 and after_

  

  * _Surface: 860 km2._

  

  * _Coordinates: xMin,yMin 17.409115, 53.651802 : xMax,yMax 17.810054, 53.888559 (WGS84)_

  

</td> </tr>  
<tr>  
<td>

_Optical VHR_

_(SPOT6/7,_

_Pleiades,_

_WorldView)_

</td>  
<td>

  * _Period: Images acquired just before 12.08.2017 and after_

  

  * _Surface: 860 km2._

  

  * _Coordinates: xMin,yMin 17.409115, 53.651802 : xMax,yMax 17.810054, 53.888559 (WGS84)_

  

</td> </tr> </table>

###  Standards and metadata  
  
<table>  
<tr>  
<th>

**Dataset**

</th>  
<th>

**Standards**

</th>  
<th>

**Metadata**

</th> </tr>  
<tr>  
<td>

Sentinel-1  _https://earth.esa.int/web/sent_ _inel/technical-guides/sentinel-_

_1-sar/products-_

_algorithms/level-1-productformatting_

</td>  
<td>

Image data are stored in a Geotiff format.

</td>  
<td>

XML file,

geotiff SAR image &

GTiff image

</td> </tr>  
<tr>  
<td>

Sentinel-2  _https://sentinel.esa.int/web/se_ _ntinel/user-
guides/sentinel-2msi/data-formats_

</td>  
<td>

13 JPEG2000 images, one for each band.

</td>  
<td>

XML file

</td> </tr>  
<tr>  
<td>

SPOT6/7  _https://www.intelligenceairbusds.com/en/8723pleiades-and-
spot-6-7-formatdelivery_

</td>  
<td>

2 JPEG2000 images, one for the B,G,R and NIR bands at 6 m spatial resolution
and the other for the panchromatic band at 1.5 m spatial resolution.

</td>  
<td>

XML file

</td> </tr>  
<tr>  
<td>

TerraSAR-X  _https://www.intelligenceairbusds.com/files/pmedia/pu_
_blic/r459_9_20171004_tsxxairbusds-ma-0009_tsxproductguide_i2.01.pdf_

</td>  
<td>

DLF COSAR binary format.

</td>  
<td>

XML file

</td> </tr>  
<tr>  
<td>

WorldView-3 _https://dg-cms-uploadsproduction.s3.amazonaws.com
/uploads/document/file/95/D_

_G2017_WorldView-3_DS.pdf_

</td>  
<td>

7 multispectral and 7 SWIR GeoTIFF images

</td>  
<td>

XML file

</td> </tr> </table>

###  Data Sharing

Data collected from Copernicus program: Sentinel-1 and Sentinel-2 can be
download from Copernicus Open Access Hub.

SPOT6/7 and Pleaides originated data are distributed on commercial licence and
can only be accessed by project partners.

###  Archiving and preservation

The datasets mentioned above will be stored on the platforms data server while
project life cycle.

However, due to the commercial license to use certain data, access to certain
data sets will be limited.

##  SUC4_ Forest-Health

This case concerns tree stand analyses during the bark beetle invasion in
Białowieża. The analyzes will include both large-scale and low-scale studies
of forest condition.

The following datasets were identified for this sub-use case:

  * Satellite images with a large number of bands in the VNIR and SWIR range will be useful (e.g. Sentinel-2) 

  

  * In a further step, high resolution images, such as SPOT 6/7 and Pleiades, will be also considered to validate the date. 

  

  * The use of radar data to determine the health of the forest will also be tested. 

  

###  Dataset reference and name  
  
<table>  
<tr>  
<th>

**Dataset**

</th>  
<th>

**Summary**

</th> </tr>  
<tr>  
<td>

Sentinel-1

</td>  
<td>

First satellite in Copernicus Program with C-SAR instrument which can operate
in four imaging modes with different resolution (down to 25 m). The mission is
composed of two satellites, sharing the same orbital plane.

</td> </tr>  
<tr>  
<td>

Setninel-2

</td>  
<td>

Sentinel-2 satellite images are optical datasets gathered within the EU
Copernicus program.

The Sentinel-2 mission from which the data originates consists of a
constellation of two satellites orbiting the Earth. Characteristics of
Sentinel-2 based images are: rich spectral resolution (13 bands), a high
spatial resolution (10m panchromatic band) and a high acquisition frequency (5
days in cloud-free conditions).

</td> </tr>  
<tr>  
<td>

SPOT 6/7

</td>  
<td>

SPOT 6/7 are series of commercial missions, succeeding SPOT 5, that provided
sustainable Earth observation of high resolution with optical sensors.
Satellite images obtained by SPOT 6/7 consists of 5 spectral bands – blue,
green, red, near infrared and panchromatic. Spatial resolution of first 4 ones
is 6 m, while GSD of panchromatic band is 1.5 m. Constellation of SPOT6/7
allows daily revisit, and its swath is up to 60 km wide.

</td> </tr>  
<tr>  
<td>

WorldView

</td>  
<td>

WorldView is a series of commercial Earth observing missions operated by
DigitalGlobe. Its most distinguishing characteristic is very high spatial
resolution. The latest mission – WorldView 4 provides images in multispectral
channels: blue, green, red at spatial resolution of 124 cm/pixel and 31
cm/pixel for panchromatic images. Its repeat interval is 3 days.

</td> </tr> </table>

###  Dataset description  
  
<table>  
<tr>  
<th>

**ROI**

</th>  
<th>

**Dataset**

</th>  
<th>

**Description**

</th> </tr>  
<tr>  
<td>

_Białowieża_

</td>  
<td>

_Sentinel-1_

</td>  
<td>

• _Period: Images acquired from 2015 to 2018 in summer months_ • _Surface: 385
km2._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Coordinates: xMin,yMin 23.68852, 52.674583 : xMax,yMax_

_23.949071, 52.870889 (WGS84)_

</td> </tr>  
<tr>  
<td>

_Sentinel-2_

</td>  
<td>

•

</td>  
<td>

_Period: Images acquired from 2015 to 2018 in summer months_

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Surface: 385 km2._

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

•

</td>  
<td>

_Coordinates: xMin,yMin 23.68852, 52.674583 : xMax,yMax_

_23.949071, 52.870889 (WGS84)_

</td> </tr>  
<tr>  
<td>

_Optical VHR_

_(SPOT6/7,_

_Pleiades,_

_WorldView)_

</td>  
<td>

• •

•

</td>  
<td>

_Period: Images acquired from 2015 to 2018 in summer months Surface: 385 km2._

_Coordinates: xMin,yMin 23.68852, 52.674583 : xMax,yMax 23.949071, 52.870889
(WGS84)_

</td> </tr> </table>

###  Standards and metadata  
  
<table>  
<tr>  
<th>

**Dataset**

</th>  
<th>

**Standards**

</th>  
<th>

**Metadata**

</th> </tr>  
<tr>  
<td>

Sentinel-1  _https://earth.esa.int/web/sent_ _inel/technical-guides/sentinel-_

_1-sar/products-_

_algorithms/level-1-productformatting_

</td>  
<td>

Image data are stored in a Geotiff format.

</td>  
<td>

XML file,

geotiff SAR image &

GTiff image

</td> </tr>  
<tr>  
<td>

Sentinel-2  _https://sentinel.esa.int/web/se_ _ntinel/user-
guides/sentinel-2msi/data-formats_

</td>  
<td>

13 JPEG2000 images, one for each band.

</td>  
<td>

XML file

</td> </tr>  
<tr>  
<td>

SPOT6/7  _https://www.intelligenceairbusds.com/en/8723pleiades-and-
spot-6-7-formatdelivery_

</td>  
<td>

2 JPEG2000 images, one for the B,G,R and NIR bands at 6 m spatial resolution
and the other for the panchromatic band at 1.5 m spatial resolution.

</td>  
<td>

XML file

</td> </tr>  
<tr>  
<td>

TerraSAR-X

_https://www.intelligenceairbusds.com/files/pmedia/pu_
_blic/r459_9_20171004_tsxxairbusds-ma-0009_tsxproductguide_i2.01.pdf_

</td>  
<td>

DLF COSAR binary format.

</td>  
<td>

XML file

</td> </tr>  
<tr>  
<td>

WorldView-3 _https://dg-cms-uploadsproduction.s3.amazonaws.com
/uploads/document/file/95/D_

_G2017_WorldView-3_DS.pdf_

</td>  
<td>

7 multispectral and 7 SWIR GeoTIFF images

</td>  
<td>

XML file

</td> </tr> </table>

###  Data Sharing

Data collected from Copernicus program: Sentinel-1 and Sentinel-2 can be
download from Copernicus Open Access Hub.

SPOT6/7 and Pleaides originated data are distributed on commercial licence and
can only be accessed by project partners.

###  Archiving and preservation

The datasets mentioned above will be stored on the platforms data server while
project life cycle.

However, due to the commercial license to use certain data, access to certain
data sets will be limited.

#  Additional datasets

##  Request of additional datasets 2019

CANDELA project has requested Additional datasets for 2019. Table 1 gathers
the information requested by the project in deliverable D5.7 [5]. In addition,
this section provides a brief justification of the use of these additional
datasets by the project use cases. Detailed information about the requirements
of these use cases is provided in deliverables D1.1 and D1.2 [3][4].

**Table 1: Datasets requested for CANDELA [5]**  
  
<table>  
<tr>  
<th>

**Core dataset**

</th>  
<th>

**Code**

</th>  
<th>

**Total sqkm**

</th> </tr>  
<tr>  
<td>

Archive_standard_Optical_VHR1

</td>  
<td>

ADD_011a

</td>  
<td>

12.600

</td> </tr>  
<tr>  
<td>

Archive_standard_Optical_VHR2

</td>  
<td>

ADD_011b

</td>  
<td>

12.600

</td> </tr>  
<tr>  
<td>

Archive_standard_SAR_VHR1

</td>  
<td>

ADD_015a

</td>  
<td>

12.600

</td> </tr>  
<tr>  
<td>

Archive_standard_SAR_VHR2

</td>  
<td>

ADD_015b

</td>  
<td>

12.600

</td> </tr>  
<tr>  
<td>

New acquisition_standard_Optical_VHR1

</td>  
<td>

ADD_012a

</td>  
<td>

8.325

</td> </tr>  
<tr>  
<td>

New acquisition_standard_Optical_VHR2

</td>  
<td>

ADD_012b

</td>  
<td>

8.325

</td> </tr>  
<tr>  
<td>

New acquisition_standard_SAR_VHR1

</td>  
<td>

ADD_016a

</td>  
<td>

8.325

</td> </tr>  
<tr>  
<td>

New acquisition_standard_SAR_VHR2

</td>  
<td>

ADD_016b

</td>  
<td>

8.325

</td> </tr> </table>

###  Agriculture and Macro-economics

This use case aims at demonstrating the capacity of remote sensing in
extracting adequate information that can help decision makers to craft
policies that tackle the challenge of urban expansion, which causes shrinking
in agricultural lands. Additionally, remote sensing can also be used for
economical purposes as in the second sub-use case dedicated to estimating
damage in vineyards due to natural hazards. Very high-resolution (VHR)
datasets requested through the Data Ware House (DWH) are mandatory for this
use case for several purposes. For instance, potential users identified the
ability of tracking the evolution of specific land covers such as buildings
and roads as one of the requirements. The latter requirement is non-trivial
and might be impossible to achieve using the free of charge Sentinel-2 and
Sentinel-1 images. Alternative very high-resolution datasets were identified
such as SPOT6/7, Pleiades and TerraSAR-X. Moreover, the developed analytics
techniques in this project have to be generic enough in order to process
remote sensing data acquired using different sensors. The requested VHR
datasets will also be used to test the robustness and generality of the
developed techniques.

###  Forest Health Monitoring

In the Forest Health Monitoring use case requirements, potential users
identified their needs concerning mostly forest management and change
detection. Depending on the scale of the study, the information they need has
different accuracy. For areas covering the whole Regional Directorates of the
State Forests, the accuracy for individual forestry parcel is sufficient. For
this purpose, optical data from the Copernicus Program with a resolution of 10
m will be useful. This dataset also allows to detect spots of damage caused by
mechanical or biotic factors. On a larger scale, allowing the identification
of diseases or damage on individual trees, the data with higher resolution
will be useful. This will allow you to receive accurate information for people
dealing with nurturing and forest management.

In addition, very high-resolution data (VHR) can be used to control the
results obtained on those with lesser resolution. Additional datasets were
chosen to have adequate number of infrared and SWIR bands. They allow to
better determine the condition and type of vegetation.

Moreover, in order to process different remote sensing data gathered from
diverse sources and sensors, developed algorithms and techniques ought to be
to some extent adequate. The VHR data should also serve for testing of
developed solutions in robustness and generality.

#  Conclusions

This document described the bold lines in the data management plan of CANDELA
project. The description included how to make the project data findable,
accessible, interoperable and reusable. As the CANDELA platform is not
complete yet, more details will emerge in the next DMP deliverable that better
illustrate the mechanism of data standards, storing, sharing, security and
ingestion.

Additionally, the document dedicated a specific section for the datasets that
will be used in the project (for the Macro-economics & agriculture and
Forestry use cases), their description, standards, sharing and storage. The
next DMP deliverable will contain more details about these datasets. For
Sentinel-1 and Sentinel-2 images, more information will be added on the
acquisition dates. Moreover, the next DMP deliverable will be enriched with
the specifications of the commercial data requested through the Data Ware
House. Furthermore, the DMP related to products and datasets produced using
the analytic tools will also be clearer through the project cycle and will be
further discussed in the next DMP deliverable.