Lakes are an essential component of biogeochemical processes, and variations in lake level are regarded as indicators of climate change. For more than a decade, satellite altimetry has successfully monitored variation in water levels over inland seas, lakes, rivers and wetlands. Through altimetry, the surface water levels are measured at varying temporal scales depending on the orbit cycle of the satellite. The futuristic mission of Surface Water and Ocean Topography (SWOT) scheduled to be launched in year 2022 shall offer the spatial coverage and resolution suitable for water level estimation and volume calculation in small water bodies like lakes worldwide. With a radar interferometer in Ka-band, SWOT proposes to provide two dimensional maps of water heights at a temporal resolution of 21 days. This work assesses the potential of SWOT for monitoring water volumes over a case study lake by analyzing SWOT like synthetic data produced using SWOT simulator developed by the Centre Nationa
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Scientists harness satellite data to help farmers use less water in India, Pakistan, and Bangladesh.
As farmers and backyard gardeners know, plants grow best when they are watered just right not too little, not too much. A growing number of South Asian farmers are now optimally irrigating their crops thanks to engineers, cell phones, and satellite data. The new tool is helping farmers simultaneously maximize their yield and conserve water.
Water sustainability, food security, and farmers’ livelihoods are all at stake in South Asia, so it is critical to end overwatering. Faisal Hossain, an environmental engineer at the University of Washington, and colleagues are harnessing free and open satellite data to help local farmers water just right.