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Institution

Indian Institute of Remote Sensing

Government•Dehra Dūn, India•
About: Indian Institute of Remote Sensing is a government organization based out in Dehra Dūn, India. It is known for research contribution in the topics: Land cover & Normalized Difference Vegetation Index. The organization has 756 authors who have published 1355 publications receiving 16915 citations. The organization is also known as: Indian Photo-interpretation Institute.
Topics: Land cover, Normalized Difference Vegetation Index, Population, Land use, Vegetation
Papers published on a yearly basis
Papers
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Journal Article•DOI•
A study of aerosol optical depth variations over the Indian region using thirteen years (2001–2013) of MODIS and MISR Level 3 data

[...]

Manu Mehta1•
Indian Institute of Remote Sensing1
01 May 2015-Atmospheric Environment
TL;DR: In this article, the authors presented a temporal (annual and seasonal) study of aerosol optical depth (AOD) in the country using satellite data for thirteen year period (2001-2013).

56 citations

Journal Article•DOI•
Assessing forest fragmentation in northeastern region (NER) of India using landscape matrices

[...]

Nikhil Lele, Pawan Kumar Joshi1, S.P. Agrawal2•
TERI University1, Indian Institute of Remote Sensing2
01 Sep 2008-Ecological Indicators
TL;DR: In this article, six historical data sets generated from remote sensing data (1972, 1982, 1987, 1989, 1993 and 1999) are used to assess forest cover loss, shape index and entropy to the degree of forest fragmentation over a multidecadal period.

56 citations

Journal Article•DOI•
Formulating allometric equations for estimating biomass and carbon stock in small diameter trees

[...]

Vishal Singh1, Ashish Tewari1, Satya P.S. Kushwaha2, Vinay Kumar Dadhwal2•
Kumaun University1, Indian Institute of Remote Sensing2
01 Jun 2011-Forest Ecology and Management
TL;DR: Biomass and carbon sequestration rate of a young (four year old) mixed plantation of Dalbergia sissoo Roxb, Acacia catechu Willd, and Albizia lebbeck Benth growing in Terai region of central Himalaya was estimated.

56 citations

Journal Article•DOI•
Mapping Forest Height and Aboveground Biomass by Integrating ICESat-2, Sentinel-1 and Sentinel-2 Data Using Random Forest Algorithm in Northwest Himalayan Foothills of India

[...]

Subrata Nandy1, Ritika Srinet1, Hitendra Padalia1•
Indian Institute of Remote Sensing1
28 Jul 2021-Geophysical Research Letters

55 citations

Journal Article•DOI•
Estimating leaf area index and light extinction coefficient using Random Forest regression algorithm in a tropical moist deciduous forest, India

[...]

Ritika Srinet1, Subrata Nandy1, N. R. Patel1•
Indian Institute of Remote Sensing1
01 Jul 2019-Ecological Informatics
TL;DR: The results showed that RF can be effectively applied to predict the spatial distribution of LAI and k, and followed an inverse relation in accordance with the Beer Lambert's Law.

55 citations

Authors

Showing all 777 results

NameH-indexPapersCitations
Rakesh Kumar91195939017
Sanjay K. Srivastava7336615587
Masako Osumi442006683
Vinay Kumar Dadhwal403226217
Pramod Kumar391704248
Anil K. Mishra383004907
Partha Sarathi Roy371745119
Pawan Kumar Joshi361704268
Kiran Singh341563525
Priyanka Singh341293839
Chandrashekhar Biradar331003529
Amit K. Tiwari331464422
Debashis Mitra321172926
Suresh Kumar294073580
Nidhi Chauhan271072319
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20239
202230
2021193
2020136
2019129
2018163