Publication: Groundwater Level Dynamics in Bengaluru City, India

Posted on Posted in Consultancy, GIS solutions, Mathematical Modelling, News, Urban planning

Groundwater accounts for half of Indian urban water use. However, little is known about its sustainability, because of inadequate monitoring and evaluation. We deployed a dense monitoring network in 154 locations in Bengaluru, India between 2015 and 2017. Groundwater levels collected at these locations were analyzed to understand the behavior of the city’s groundwater system. […]

Publication: A Framework for Assessment of Climate Change Impacts on Groundwater System Formations

Posted on Posted in GIS solutions, Mathematical Modelling, Uncategorized

In order to understand the impact of climate change on vegetation and soil on the groundwater system comprehensively, complex coupled models that require a series of estimated parameters were run in a distributed framework for a catchment. The simple and general approach used to investigate the potential impact of climate change on groundwater fluxes forces […]

VATI – watch your region in real time through our new App

Posted on Posted in Agriculture, Algorithm Development, Environment, Geospatial Modelling, GIS solutions, Mathematical Modelling, Modelling, News, Remote Sensing, Satellite Remote Sensing, Software Development, Water Resources

Making it easier than ever to stay in touch with our selective innovative products and information which allows to observe earth in near real time. We have not only built the new flagship app but taken everything you would like i.e. more intuitive, smarter and dramatically simplify your remote sensing experience. VATI (Value Added information […]

Is tank rehabilitation serving its purpose?

Posted on Posted in Agriculture, GIS solutions, News, Satellite Remote Sensing, Water Resources

Tanks are an important source of irrigation. Artificial or natural, tanks are used for harvesting and preserving the local rainfall and water from streams and rivers for later use for various purposes including agriculture and domestic. For serving the purpose, tanks require regular maintenance, revival, and restoration which includes frequent removal of silt (desilting). Also, […]

Early detection of drought using satellite remote sensing

Posted on Posted in Agriculture, Disaster Management, GIS solutions, News, Satellite Remote Sensing

Drought is a normal and recurrent feature of climate. Droughts are classified into three categories viz. meteorological, hydrological and agricultural. Meteorological drought is identified by the estimate of the departure of precipitation from normal. Hydrological droughts indicate the departure of surface and ground water from normal.  Agricultural droughts are caused by inadequate soil moisture to support the […]

Publication: A Spatio-Temporal Algorithm for Merging Soil Moisture from Active and Passive Microwave Remote Sensing

Posted on Posted in Agriculture, Algorithm Development, Disaster Management, Environment, Geospatial Modelling, GIS solutions, Mathematical Modelling, News, Satellite Remote Sensing, Validation of satellite retrieved variables, Water Resources

Currently the soil moisture is available either at coarse spatial scale from passive microwave remote sensing or at infrequent repeat time from active microwave remote sensing. A novel MAPSM algorithm is developed which merges Active and Passive microwave Soil Moisture to obtain a higher spatio-temporal soil moisture which is a prerequisite for various hydrological, agricultural and […]

Publication: High Resolution Land Surface Geophysical Parameters Estimation from ALOS PALSAR data

Posted on Posted in Algorithm Development, Geospatial Modelling, GIS solutions, News, Satellite Remote Sensing, Validation of satellite retrieved variables

A satellite-only algorithm (which does not need ancillary data on soil surface roughness and vegetation) to retrieve soil moisture is tested over ambhas site (www.ambhas.com) in India. The satellite data used is L-band ALOS PALSAR which has all weather capability. The estimated soil moisture had a spatial resolution of 25 m capable of estimating crop […]