Most of the data collected is a point based data which represents a very small area. Therefore, analysing the spatial variability and its impact on the areal value need to be analysed. For Indian conditions high spatial resolution microwave images provides unique opportunities for modelling variety of land surface parameters using which efficient disaster management and land use planning can be implemented. Our expertise enabled us to provide IT solutions for a variety of geospatial data management.
Selected services
Monitor agricultural drought using satellite data in near real time
A deficit in the available soil moisture for agriculture is termed as drought which results in the lack of crop ...
Read More
Read More
Related News
- SAARC Charter day: Soil moisture using Satellite for SAARC nations (12/8/2017) - 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 (11/19/2017) - 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 (1/20/2017) - 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 (1/16/2017) - 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 […]
