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 National Emblem Vedas Logo Visualisation of Earth Observation Data and Archival System
Space Applications Centre  Department of Space, Indian Space Research Organisation

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Satellite Based Observations And Modeling Of Flood


Flood is a devastating natural disaster experienced generally during monsoon months due to torrential rainfall over different regions of India. This not only leads to large impact on the socio-economic life of the country but also result in large-scale destruction of life and property.

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Village Level Vegetation Monitoring Using Resourcesat Data

Status of vegetation at village level plays an important role to assist policy makers as a decision support feature. Space Applications Centre, SAC/ISRO Ahmedabad has developed an automated system to compute village level NDVI through Visualisation of Earth observation Data and Archival System (VEDAS).

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Antarctica : Larsen C Rift Propagation and Calving as seen since 5th April 2017


Rift Propagation and ice calving of Larsen C Ice Shelf in Antarctica. Calving of ice took place between July 10th and 12th. AMHTDG Team was watching the event closely. Ice disintegration was of the order of ~ 6200 km2 out of ~ 50000 km2. The event presently will not raise the sea level, but the instability of the shelf and increased ice flow from Ice Sheet may altogether change the scenario.

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Antarctica : Larsen C Rift Propagation and Calving as seen since 5th April
                            2017

Android App for Solar Calculator

The Android App for Solar Calculator is very useful to know the Solar energy potential at any given place. It also gives forecast for next 72 hours.

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How to use Solar Calculator App
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Flood monitoring using Ku band SCATSAT-1 data


This animated gif shows flood progression and receding pattern over India during 19 June to 26 July 2017 using Ku band SCATSAT-1 observations.

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Estimation Of Water Level Of Brahmaputra River using Scatterometer (OSCAT/ SCATSAT-1) Data

Scatterometer observations provide information on wetness which is modelled at the catchment scale to estimate basin wetness index and subsequently river water level fluctuations.

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Satellite based observations on Human induced changes in regional water balance in Punjab, India

Shifting pattern of irrigation practices due to Punjab water act has been monitored using the passive microwave observations.

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MONITORING SNOW AND GLACIERS OF HIMALAYAN REGION

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ATMOSPHERIC OPTICAL DEPTH (AOD) IN THE VALLES MARINERIS ON MARS BY INDIAN MARS ORBITER MISSION (MOM) DATA

The optical depth of Martian atmosphere as a function of altitude derived above two opposing walls (Northern and Southern walls of the Valles Marineris near Coprates Chasma region) of valley from stereo images that were taken with MCC on December 5, 2014.

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GLOBAL ALBEDO MAP OF MARS USING MSM DATA FROM MARS ORBITER MISSION

The albedo of the surface is defined as the fraction of incident solar radiation reflected by the surface. The magnitude and spatial distribution of Martian surface albedo are important inputs for characterization of Martian surface and Atmospheric circulation.

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MOSAIC OF MARTIAN NORTH POLE AND ICE CAP FROM MOM

The North Pole of Mars has a large ice cap on it. Mars Colour Camera (MCC) on-board MOM captured many images of north pole of Mars. Topographically corrected MCC reflectance mosaic is prepared using nine MCC images observed during 16 December 2015 to 26 January 2016.

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RETREAT OF NORTHERN POLAR ICE CAP OBSERVED BY MARS COLOUR CAMERA (MCC)

Using Mars Orbiter Mission-Mars Colour Camera (MOM-MCC), area of North Pole Ice Cap has been measured for retreat of Northern Polar Ice Cap during northern summer of Mars.

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HYDROLOGICAL DROUGHT CONDITION DETECTED USING SARAL-ALTIKA

SARAL-Altika is detecting water level fluctuations in 10 reservoirs since March 2013. A detailed study on Ukai reservoir reveals lowest water levels in 2016 as compared to previous years.

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MOSAIC OF VALLES MARINERIS: A SYSTEM OF CANYONS ON MARS

MCC has acquired many high and low resolution images for Valles Marineris. The datasets from MCC for the study area were geo corrected by using MOLA data. During photometric correction total six images of the surface of Valles Marineris were processed.

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