Mangrove Forest Cover Changes in Indian Sundarban (1986–2012) Using Remote Sensing and GIS

2016 ◽  
pp. 97-108 ◽  
Author(s):  
Kaberi Samanta ◽  
Sugata Hazra
Keyword(s):  
Remote Sensing ◽  
Mangrove Forest ◽  
Forest Cover ◽  
Remote Sensing And Gis ◽  
Forest Cover Changes ◽  
Indian Sundarban

Quantifying forest cover changes in Koraput district, India using remote sensing and GIS

2021 ◽  
pp. 185-191
Author(s):  
Ch. Jyotiprava Dash ◽  
Partha Pratim Adhikary ◽  
M. Madhu ◽  
P.K. Mishra
Keyword(s):  
Remote Sensing ◽  
Forest Cover ◽  
Remote Sensing And Gis ◽  
Forest Cover Changes

scholarly journals A three decade assessment of forest cover changes in Nijhum dwip national park using remote sensing and GIS

2021 ◽  
pp. 100162
Author(s):  
Md. Rafikul Islam ◽  
Md. Nabiul Islam Khan ◽  
Md. Zulfikar Khan ◽  
Bishwajit Roy
Keyword(s):  
Remote Sensing ◽  
National Park ◽  
Forest Cover ◽  
Remote Sensing And Gis ◽  
Forest Cover Changes

scholarly journals Capacity Development for Use of Remote Sensing for REDD+ MRV Using Online and Offline Activities: Impacts and Lessons Learned

2021 ◽  
Vol 13 (11) ◽  
pp. 2172
Author(s):  
Sarah Carter ◽  
Martin Herold ◽  
Inge Jonckheere ◽  
Andres Espejo ◽  
Carly Green ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Forest Cover ◽  
Hybrid Approach ◽  
Remote Sensing Data ◽  
Lessons Learned ◽  
Multiple Partners ◽  
Large Audience ◽  
Forest Cover Changes ◽  
The Impact ◽  
And Training

Four workshops and a webinar series were organized, with the aim of building capacity in countries to use Earth Observation Remote Sensing data to monitor forest cover changes and measure emissions reductions for REDD+ results-based payments. Webinars and workshops covered a variety of relevant tools and methods. The initiative was collaboratively organised by a number of Global Forest Observations Initiative (GFOI) partner institutions with funding from the World Bank’s Forest Carbon Partnership Facility (FCPF). The collaborative approach with multiple partners proved to be efficient and was able to reach a large audience, particularly in the case of the webinars. However, the impact in terms of use of tools and training of others after the events was higher for the workshops. In addition, engagement with experts was higher from workshop participants. In terms of efficiency, webinars are significantly cheaper to organize. A hybrid approach might be considered for future initiatives; and, this study of the effectiveness of both in-person and online capacity building can guide the development of future initiatives, something that is particularly pertinent in a COVID-19 era.

Forest cover monitoring using remote sensing and GIS — A case study in Dhaulkhand range of Rajaji National Park, Uttar pradesh

1996 ◽  
Vol 24 (1) ◽  
pp. 33-42 ◽  
Author(s):  
K. K. Das ◽  
Shirish A. Ravan ◽  
S. K. Negi ◽  
Abhineet Jain ◽  
P. S. Roy
Keyword(s):  
Remote Sensing ◽  
National Park ◽  
Forest Cover ◽  
Uttar Pradesh ◽  
Remote Sensing And Gis

scholarly journals Analysing land use/land cover changes and its dynamics using remote sensing and GIS in Gubalafito district, Northeastern Ethiopia

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Gebeyehu Abebe ◽  
Dodge Getachew ◽  
Alelgn Ewunetu
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Forest Cover ◽  
Remote Sensing And Gis ◽  
Land Use Land Cover ◽  
Drivers Of Change ◽  
Grazing Land ◽  
Lulc Changes ◽  
Bare Land ◽  
The Status

Abstract Mapping and quantifying the status of Land use/Land cover (LULC) changes and drivers of change are important for identifying vulnerable areas for change and designing sustainable ecosystem services. This study analyzed the status of LULC changes and key drivers of change for the last 30 years through a combination of remote sensing and GIS with the surveying of the local community understanding of LULC patterns and drivers in the Gubalafto district, Northeastern Ethiopia. Five major LULC types (cultivated and settlement, forest cover, grazing land, bush land and bare land) from Landsat images of 1986, 2000, and 2016 were mapped. The results demonstrated that cultivated and settlement constituted the most extensive type of LULC in the study area and increased by 9% extent. It also revealed that a substantial expansion of bush land and bare land areas during the past 30 years. On the other hand, LULC classes that has high environmental importance such as grazing land and forest cover have reduced drastically through time with expanding cultivated and settlement during the same period. The grazing land in 1986 was about 11.1% of the total study area, and it had decreased to 5.7% in 2016. In contrast, cultivated and settlement increased from 45.6% in 1986 to 49.5% in 2016. Bush land increased from 14.8 to 21% in the same period, while forest cover declined from 8.9 to 2% in the same period. The root causes for LULC changes in this particular area include population growth, land tenure insecurity, and common property rights, persistent poverty, climate change, and lack of public awareness. Therefore, the causes for LULC changes have to be controlled, and sustainable resources use is essential; else, these scarce natural resource bases will soon be lost and will no longer be able to play their contribution in sustainable ecosystem services. Article Highlights Forest cover and grazing lands declined rapidly. Fluctuating trends in cultivated and settlement, bush land and bare land. Population pressure and associated demand are the main causes behind LULC changes in the study area.

Sign in / Sign up

Export Citation Format

Share Document