SAARC Charter day: Soil moisture using Satellite for SAARC nations

Posted on Posted in Agriculture, Algorithm Development, Crop insurance, Disaster Management, Geospatial Modelling, News, Satellite Remote Sensing, Water Resources

SAARC (South Asian Association for Regional Cooperation) was founded on 8th December, 1985. The member nations of this organization include Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka. To commemorate this 33rd SAARC Charter day, Aapah Innovations created high-resolution soil moisture map for SAARC using satellite data. Agriculture drought arises when soil moisture […]

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 […]

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 […]