The ability to quantify water use by various agricultural crops and natural vegetation as discussed in these 3 papers will help us see which crops or vegetation types are water guzzlers and which are not. This is especially important in an increasingly water scarce World in a changing climate (see the paper by [PERSON] _et al_.). This will help us plant less water consuming crops to produce our food and/or adopt strategies to increase productivity even when less and less water is used through better water productivity measures. Here the concept of water footprint of crops (WFC) is very useful. The WFC is a concept defined by how much water is consumed to produce unit of food. By such assessments, we can pin-point areas of high and low WFC and plan to increase WFC to increase productivity by consuming less and less water, resulting in water savings. The global assessments of WFCs using remote sensing are discussed in detail by [PERSON] _et al_. There are considerable conflicts in using land and water for food production versus fuel production (e.g., ethanol). Remote sensing data and methods are ideally suited for monitoring and planning land use for agricultural croplands or for ethanol fuel production and establishing trade-offs involving the two. This trade-off is studied in detail for Sugarcane production for Ethanol in S \(\tt{\hat{o}}\) Paulo State (Brazil) by [PERSON] _et al_. Similarly, there is significant competition for croplands for increasingly urban modern societies. This is not just for building urban housing and industries, but equally or even more for urban and peri-urban agriculture. Even though, about 800 million people practice urban/peri-urban agriculture, there is true lack of systematic knowledge and characterization of the same and remote sensing and geospatial technologies offer the best opportunities to study the same as discussed in a paper by [PERSON]. Both croplands and their water use are tightly linked to food security. The changing climate is leading to uncertainty in rainfall amount and distribution, rise in temperatures, and reductions in snow-melt runoff in many parts of the World. Much of the green revolution was sustained by irrigation, which overcame some of these climate induced changes over space and time. Further, green revolution was also sustained by massive exploitation of deep aquifer groundwater. But, this is an unsustainable model of development that is also environmentally detrimental. These critical issues are studied in a paper by [PERSON] _et al_. taking Indian example, where these issues are most pressing, using decadal NDVI. At the same time, we have massive floods in many parts of the world. If the water can be stored in \"water banks\" during these flood events, they can supply water for several lean years through well organized distribution system. These innovative measures are required to adapt to climate change. Measures such as these can lead to \"ever green revolution\" that combines the best of green revolution with blue revolution (Figures 1 and 2) where water shortages for food and livelihood are things of past bygone era. Croplands are mapped and studied using numerous geospatial data, methods, models, and approaches. Yet, farmers require a simple system to make timely decisions. For this, [PERSON] _et al_. proposed and demonstrated a web based remote sensing data dissemination system for the Digital Northern Great Plains (DNGP) of the United States. In this they propose and implement a range of practical applications that support timely and cost-effective decision making by farmers as well demonstrate a free remote sensing and other spatial data and product sharing platform. Farmers need to implement advance farming methods such as precision farming in order to maximize production through land suitability studies and minimize environmental impacts by minimizing application of herbicides, pesticides, and fertilizers. These approaches are discussed by [PERSON], [PERSON], and [PERSON].