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Kushwaha, S. P. S.
- Monitoring of forest Cover in India: Imaging Spectroscopy Perspective
Abstract Views :254 |
PDF Views:105
Authors
N. S. R. Krishnayya
1,
Binal Christian
1,
Dhaval Vyas
1,
Manjit Saini
1,
Nikita Joshi
1,
K. R. Manjunath
2,
Tanumi Kumar
2,
Hitendra Padalia
3,
Rajee George
4,
S. P. S. Kushwaha
3
Affiliations
1 Ecology Laboratory, Department of Botany, The M.S. University of Baroda, Vadodara 390 002, IN
2 Space Applications Centre, India Space Research Organization (ISRO), Ahmedabad 380 015, IN
3 Forest and Ecology Department, Indian Institute of Remote Sensing, ISRO, Dehradun 248 001, IN
4 Department of Environment and Forest, Andaman and Nicobar Islands, Port Blair 744 102, IN
1 Ecology Laboratory, Department of Botany, The M.S. University of Baroda, Vadodara 390 002, IN
2 Space Applications Centre, India Space Research Organization (ISRO), Ahmedabad 380 015, IN
3 Forest and Ecology Department, Indian Institute of Remote Sensing, ISRO, Dehradun 248 001, IN
4 Department of Environment and Forest, Andaman and Nicobar Islands, Port Blair 744 102, IN
Source
Current Science, Vol 108, No 5 (2015), Pagination: 869-878Abstract
Tropical forests are the most diverse and complex terrestrial systems. India is one of the mega diverse countries supporting rich floral diversity coming from diverse climatic conditions spread across the length and breadth of the country. Unique characteristics of these forest covers coupled with immense pressure of human activities make their monitoring essential so as to ensure their long-term sustainability. More reliable evaluation of forest cover can give better inputs to the National Mission for a Green India. Imaging spectroscopy is an appropriate technique to address some of these vital issues. This technique has seen an exponential growth in the past two decades, addressing various forestry applications such as tree species identification, invasive species mapping, monitoring phenology, biophysical and biochemical characterization, to name a few. Data acquisition through imaging spectroscopy can be done across different spatial and spectral ranges according to the needs of the user. The review highlights important measures to be taken in using imaging spectroscopy for forestry studies, specifically in the Indian context. It emphasizes future outlook of the technology for a sustained assessment of tropical forest cover.Keywords
Forest Cover, Imaging Spectroscopy, Parameter Estimation, Sustained Assessment.Full Text
- Monitoring of Carbon Dioxide and Water Vapour Exchange over a Young Mixed forest Plantation Using Eddy Covariance Technique
Abstract Views :241 |
PDF Views:103
Authors
Affiliations
1 Indian Institute of Remote Sensing, ISRO, Dehradun 248 001, IN
2 National Remote Sensing Centre, ISRO, Hyderabad 500 625, IN
1 Indian Institute of Remote Sensing, ISRO, Dehradun 248 001, IN
2 National Remote Sensing Centre, ISRO, Hyderabad 500 625, IN
Source
Current Science, Vol 107, No 5 (2014), Pagination: 858-867Abstract
Studies on CO2 and water vapour exchange in natural and man-made vegetation are necessary for quantifying their role in landscape-level carbon budget. The present study investigated variations in carbon and water vapour fluxes and monthly net ecosystem exchange (NEE) over a 9-year-old mixed forest plantation (Holoptelea integrifolia, Dalbergia sissoo, Acacia catechu and Albizia procera) in Terai Central Forest Division of Nainital district, Uttarakhand using January to September 2013 eddy covariance data. During leafless period (i.e. January), the plantation acted as a net carbon source (i.e. positive NEE) with daily mean release of 0.35 g C m-2 day-1, while from leaf onset to growing period (i.e. April to September), it acted as a sink (i.e. negative NEE) due to carbon uptake by an increasing number of leaves. The monthly mean daily NEE was noticed to be increasingly more negative in each subsequent month until September. The diurnal trend in NEE closely followed the variations in the intensity of photosynthetically active radiation. The diurnal NEE in all months was related to vapour pressure deficit with time-lag. Maximum daytime uptake (-29.5 μmol m-2 day-1) and night-time release of CO2 (8.2 μmol m-2 day-1) was observed in July. Monthly mean of daily NEE over plantation continuously increased from February and was highest (-5.74 g C m-2 day-1) in September. Rectangular hyperbolic function provided reasonably good fit between NEE and PAR. Ecosystem parameters (μ and Pmax) of the light response curve also followed the canopy development trend.Keywords
Carbon Dioxide, Eddy Covariance, Mixed forest Plantation, Water Vapour.Full Text
- Forest Cover Monitoring and Prediction in A Lesser Himalayan Elephant Landscape
Abstract Views :228 |
PDF Views:74
Authors
Affiliations
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun - 248 001, IN
1 Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun - 248 001, IN
Source
Current Science, Vol 115, No 3 (2018), Pagination: 510-516Abstract
We have monitored the forest cover depletion in parts of Assam and Arunachal Pradesh over an area of 42,375 km2 in an elephant landscape falling in the Lesser Himalaya, North East India and report the results here. The US Army topographic maps (1924) and multi-date satellite images (1975, 1990, 2000 and 2009) were visually interpreted on-screen for post-classification comparison and forest cover change detection. The exercise showed continuous high loss of forest cover during the study period. A land area having 17,846.27 km2 forest in 1924 was depleted to 12,514.56 km2 by 1975, 11,861.75 km2 by 1990, 10,808.92 km2 by 2000 and 10,256.58 km2 by 2009, thereby indicating a constant decrease in forest cover by 12.59%, 1.54%, 2.48% and 1.31% respectively. The total loss in forest cover was estimated to be about 7590 km2 from 1924 to 2009. The Cellular Automata Markov Model has predicted a further likely decrease of 9007.14 km2 by 2028. In general, more districts of Assam than Arunachal Pradesh and more plains than hills faced deforestation. We have identified increasing human population and subsequent demand on the land for cultivation as major reasons for forest cover depletion.Keywords
Change Detection, Deforestation, Elephant Landscape, North East India, Satellite Images.Full Text
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