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- S. Sudhakar
- K. K. Sarma
- P. L. N. Raju
- Ashesh Kr. Das
- Victor Saikom
- Suranjana B. Borah
- Mamita Kalita
- Chirag Gupta
- Laishram Ricky Meitei
- Praveer Pankaj
- Prabir Kumar Mukhopadhyay
- Sandip Nandy
- Anup K. Das
- C. Patnaik
- Saroj Maity
- M. S. S. Praveen
- R. Suraj Reddy
- G. Rajashekar
- Nilima R. Chaube
- Seema Mahajan
- Yashraj Jain
- Dhruval Bhavsar
- Deepak Putrevu
- Sameer Mandal
- Biman Kr. Dutta
Journals
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Chakraborty, Kasturi
- The Expansion and Impact of Cement Manufacturing Units and Mining Areas in Lumshnong, Jaintia Hills, Meghalaya
Abstract Views :398 |
PDF Views:121
Authors
Affiliations
1 North Eastern Space Applications Centre, Umiam 793 103, IN
1 North Eastern Space Applications Centre, Umiam 793 103, IN
Source
Current Science, Vol 106, No 7 (2014), Pagination: 997-1000Abstract
With the rapid developmental process taking place across the globe, there are several pockets widespread in North East Region of India which are becoming hotspots of land-use change. Industrial expansion is one of the main reasons for conversion of landuse/land-cover classes, particularly from forest to nonforest. This study focuses on the impact of the cement industrial and mining activities leading to the loss of forest cover in Jaintia hills district, Meghalaya, NE India. The region owing to its large natural resource store is becoming the zone of forest to non-forest conversion at a much faster rate. In this study, remote sensing has been used as a tool to observe the extent of land-use change using an automatic change detection software, DeltaCue to map the expansion of the cement industrial units and their impact on the vegetation in the immediate vicinity. The present study highlights the spread of the industrial units from 2005 to 2011 and the loss of vegetation.Keywords
Cement Industry, Land-use Change, Loss of Vegetation, Mining Activities, Remote Sensing.- Recognizing the Rapid Expansion of Rubber Plantation – A Threat to Native Forest in Parts of Northeast India
Abstract Views :478 |
PDF Views:189
Authors
Affiliations
1 North Eastern Space Applications Centre, Umiam 793 103, IN
2 Department of Ecology and Environmental Science, Assam University, Silchar 788 011, IN
1 North Eastern Space Applications Centre, Umiam 793 103, IN
2 Department of Ecology and Environmental Science, Assam University, Silchar 788 011, IN
Source
Current Science, Vol 114, No 01 (2018), Pagination: 207-213Abstract
With the current trend of land use/land cover (LULC) change taking place globally, several parts of northeast India are also showing signs of change in LULC pattern leading to forest loss. This study focusses on the expansion of monoculture rubber plantation (Hevea brasiliensis) in selected sub-watersheds in north-east India, and distributed in parts of north Tripura, Mizoram and a major portion in the Karimganj district of Assam. Remote sensing and GIS technique has been used to map and analyse the extent of rubber plantation using temporal IRS LISS III satellite data from 1997 to 2013. It has been observed that rubber plantation increased from 4.47 sq. km to 28.42 sq. km in various parts of the study area. The expansion was more rapid during recent times, i.e. during 2010 to 2013. The plantation took place in dense forest, open forest and degraded forest areas. The spread of the plantation was also observed in one reserved forest located within the study area. There are several instances of negative impacts of rubber plantation expansion in Southeast Asia. Similar expansion of rubber plantation has been observed in northeast India as well. Further spread of rubber plantations in the region needs to be regulated to avoid conversion of dense and reserved forest areas by fostering use of mixed cropping methods instead of rubber monocultures, and by adopting more sustainable land use and management practices.Keywords
Northeast India, Remote Sensing and GIS, Rubber Plantation.References
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- Mertz, O., Padoch, C., Fox, J., Cramb, R. A., Leisz, S. J. and Lam, N. T., Swidden change in Southeast Asia: understanding causes and consequences. Hum. Ecol., 2009, 37, 259–264.
- Leisz, S. J., Yasuyuki, K., Fox, J., Masayuki, Y. and Rambo, T. A., Land use changes in the uplands of Southeast Asia: proximate and distant causes. J. Southeast Asian Stud., 2009, 47(3), 237–243.
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- Guardiola-Claramonte, M., Troch, P. A., Ziegler, A. D., Giambelluca, T. W., Durcik, M. and Vogler, J. B., Hydrologic effects of the expansion of rubber (Heveabrasiliensis) in a tropical catchment. Ecohydrology, 2010, 306–314.
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- Thomas, E. W., Dolman, P. M. and Edwards, D. P., Increasing demand for natural rubber necessitates a robust sustainability initiative to mitigate impacts on tropical biodiversity. Conserv. Lett., 2015, 8(4), 230–241.
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- Chen, H., Yi, Z.-F., Schmidt-Vogt, D., Ahrends, A., Beckschäfer, P. and Kleinn, C., Pushing the limits: the pattern and dynamics of rubber monoculture expansion in Xishuangbanna, SW China. PLoS ONE, 2016, 11(2), e0150062; doi:10.1371/journal.pone.0150062.
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- Li, S., Zou,, F., Zhang, Q. and Sheldon, F. H., Species richness and guild composition in rubber plantations compared to secondary forest on Hainan Island, China. Agrofor. Syst., 2013, 87, 1117–1128.
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- DeBlécourt, M., Brumme, R., Xu, J., Corre, M. D. and Veldkamp, E., Soil carbon stocks decrease following conversion of secondary forests to rubber (Hevea brasiliensis) plantations. PLoS ONE, 2013, 8, e69357.
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- Warren-Thomas, E., Dolman, P. M. and Edwards, D. P., Increasing demand for natural rubber necessitates a robust sustainability initiative to mitigate impacts on tropical biodiversity. Conserv. Lett., 2015; http://dx.doi.org/10.1111/conl.12170.
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- Liyanage, K. K., Khan, S., Mortimer, P. E., Hyde, K. D., Xu, J., Brooks, S. and Ming, Z., Powdery mildew disease of rubber tree. For. Pathol., 2016, 46(2), 90–103.
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- Food and Agriculture Organization (FAO), FAOSTAT, 2013; http://faostat3.fao.org/faostat-gateway/go/to/home/E
- Viswanathan, P. K., Emerging smallholder rubber farming systems in India and Thailand: a comparative economic analysis. Asian J. Agric. Develop. (AJAD), 2008, 5(2), 1–19.
- North Eastern Council (NEC), North Eastern region Vision 2020, 2008, p. 77.
- Fox, J. M., Castella, J. C., Ziegler, A. D. and Westlay, S. B., Rubber plantation expand in mountainous southeast Asia: what are the consequences for the environment? Asia Pacific Issues, Analysis from the East-West Centre, 2014, p. 114.
- Oku, E., Iwara, A. and Ekukinam, E., Effects of age of rubber (Hevea brasiliensis Muell Arg.) plantation on pH, organic carbon, organic matter, nitrogen and micronutrient status of ultisols in the humid forest zone of Nigeria, Kasetsart. J. Nat. Sci., 2012, 46, 684–693.
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- Snoeck, D., Lacote, R., Keli, J., Doumbia, A., Chapuset, T., Jagoret, P. and Gohet E., Association of Hevea with other tree crops can be more profitable than Hevea monocrop during first 12 years. Ind. Crops Prod., 2013, 48, 578–586.
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- Forest Biometric Parameter Extraction using Unmanned Aerial Vehicle to Aid in Forest Inventory Data Collection
Abstract Views :392 |
PDF Views:119
Authors
Kasturi Chakraborty
1,
Victor Saikom
1,
Suranjana B. Borah
1,
Mamita Kalita
1,
Chirag Gupta
1,
Laishram Ricky Meitei
2,
K. K. Sarma
1,
P. L. N. Raju
1
Affiliations
1 North Eastern Space Applications Centre, Umiam 793 103, IN
2 Botanical Survey of India, ERC, Shillong 793 003, IN
1 North Eastern Space Applications Centre, Umiam 793 103, IN
2 Botanical Survey of India, ERC, Shillong 793 003, IN
Source
Current Science, Vol 117, No 7 (2019), Pagination: 1194-1199Abstract
Frequent ground surveys and satellite-based information on tree height, canopy gaps and forest dynamics are limited by time, cost and spatial scales. In this study, an attempt has been made to derive forest biometric parameter on tree height by canopy height model and crown area projections using unmanned aerial vehicles (UAV)–RGB image. Sorensen’s coefficient has been used as an index to compare between ground inventory and UAV-based species identification. The statistical paired t-test showed UAV RGB can be used for maximum tree height and tree crown extraction to aid in ground surveys.Keywords
Canopy Height Model, Canopy Area Projection, Forest Biometry, Unmanned Aerial Vehicles.References
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- Lizardite–chrysotile veins from Vempalle Formation of Cuddapah Supergroup, India: a study in fluid–rock interaction
Abstract Views :310 |
PDF Views:141
Authors
Affiliations
1 Geological Survey of India, Khanij Bhavan, Jaipur 302 004, IN
2 Geological Survey of India, Seminary Hills, Nagpur 440 006, IN
3 AD-18/5, Sector-I, Salt Lake City, Kolkata 700 064, IN
4 Geological Survey of India, Dharitri Building, Sector V, Salt Lake City, Kolkata 700 091, IN
1 Geological Survey of India, Khanij Bhavan, Jaipur 302 004, IN
2 Geological Survey of India, Seminary Hills, Nagpur 440 006, IN
3 AD-18/5, Sector-I, Salt Lake City, Kolkata 700 064, IN
4 Geological Survey of India, Dharitri Building, Sector V, Salt Lake City, Kolkata 700 091, IN
Source
Current Science, Vol 122, No 7 (2022), Pagination: 826-839Abstract
Much work has been done on hydrothermal alteration and serpentinization of high-magnesian bulks like dunite or peridotite. In contrast, serpentinization of dolomite has received scant attention. In this study we focus on a system of nearly monomineralic intersecting veins comprising serpentine or epidote or calcite developed within Vempalle dolomite of unmetamorphosed Cuddapah Supergroup of rocks, Eastern Dharwar Craton, India. Our studies show that hydrothermal alteration under moderately low temperature, low pressure and moderate silica activity can lead to extensive serpentinization of the dolomitic host. Development of talc can occur under increased silica activity at similar P–T conditions. We also explore the mechanism of formation of chrysotile veins, epidote veins and calcite veins that transect the lizardite which replaces dolomiteKeywords
Dolomite, fluid–rock interaction, lizardite and chrysotile veins, silica activity.References
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- Estimation of above-ground biomass and delineation of vegetation of tropical forests using EOS-04 data
Abstract Views :158 |
Authors
Anup K. Das
1,
C. Patnaik
1,
Saroj Maity
1,
M. S. S. Praveen
2,
R. Suraj Reddy
2,
G. Rajashekar
2,
Nilima R. Chaube
1,
Seema Mahajan
3,
Yashraj Jain
4,
Dhruval Bhavsar
5,
Kasturi Chakraborty
5,
Deepak Putrevu
1
Affiliations
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 037, IN
3 Indus University, Ahmedabad 381 115, IN
4 ACL Digital – Reliance Jio, Navi Mumbai 400 701, IN
5 North Eastern Space Applications Centre, Umiam 793 103, IN
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 037, IN
3 Indus University, Ahmedabad 381 115, IN
4 ACL Digital – Reliance Jio, Navi Mumbai 400 701, IN
5 North Eastern Space Applications Centre, Umiam 793 103, IN
Source
Current Science, Vol 126, No 9 (2024), Pagination: 1088-1101Abstract
The C-band SAR on-board EOS-04 mission provides unique opportunities to characterize forest vegetation through its sensitiveness to vegetation structure and all-weather imaging capability over regions of perpetual cloud cover. The present study has brought out the applications of EOS-04 data for estimation of above-ground biomass (AGB) of tropical deciduous forests and scrublands, mapping of forest cover and delineation of mangroves vegetation. The study suggested that EOS-04 data can be used for mapping AGB of tropical scrublands and low density forests of AGB £ 80 t/ha. The overall RMSE for all vegetation with AGB £ 80 t/ha was 15.3 t/ha (R2 – 0.49). It was shown that the integration of EOS-04 and Sentinel-2 data improved AGB estimates across biomass ranges of 0–245 t/ha (RMSE – 21.60 t/ha and 0.81). EOS-04 data was also found to be useful for the delineation of mangroves and forest vegetation using machine-learning algorithms. The study supports operational use of EOS-04 data for estimation of AGB over low biomass tropical forests and scrublandsKeywords
Above-ground biomass, C-band SAR, forest cover, mangrove vegetation, MRS data, random forest regression, tropical forests.Full Text
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Authors
Affiliations
1 North Eastern Regional Institute of Science and Technology, Nirjuli 791 109, IN
2 North Eastern Space Applications Centre, Umiam 793 103, IN
3 North Eastern Council, Meghalaya, Shillong 793 003, IN
1 North Eastern Regional Institute of Science and Technology, Nirjuli 791 109, IN
2 North Eastern Space Applications Centre, Umiam 793 103, IN
3 North Eastern Council, Meghalaya, Shillong 793 003, IN