Forest Cover Change Analysis in Sundarban Delta Using Remote Sensing Data and GIS

2019 ◽  
pp. 85-101 ◽  
Author(s):  
K. Kundu ◽  
P. Halder ◽  
J. K. Mandal
Keyword(s):  
Remote Sensing ◽  
Forest Cover ◽  
Remote Sensing Data ◽  
Forest Cover Change ◽  
Change Analysis ◽  
Sensing Data

scholarly journals Estimation of forest cover restoration damaged by Siberian silkmoth using remote sensing data and maps

2019 ◽  
Vol 75 ◽  
pp. 02005
Author(s):  
Elena Fedotova
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Tree Species ◽  
Forest Cover ◽  
Remote Sensing Data ◽  
Deciduous Forests ◽  
Sensing Data ◽  
Current State

The current state of the land cover has been estimated in the territories where in different years (1885, 1955, 1995) the forests were damaged by Siberian silkmoth. Dark-needle taiga is restored through the change of tree species. In 20 years in areas of dark-needle taiga there are graminoid communities, in 60 years we have deciduous forests there, and in 130 - dark needle forests, but not everywhere.

scholarly journals FOREST COVER DIGITAL MAPPING OF THE KARELIAN PART OF THE WHITE SEA COASTAL ZONE BASED ON IMPROVED INTERPRETATION METHOD OF REMOTE SENSING DATA

2019 ◽  
pp. 87
Author(s):  
Виктор Владимирович Тарасенко ◽  
Борис Владимирович Раевский ◽  
Viktor Tarasenko ◽  
Boris Raevsky
Keyword(s):  
Remote Sensing ◽  
Coastal Zone ◽  
Forest Cover ◽  
White Sea ◽  
Remote Sensing Data ◽  
The White Sea ◽  
Sensing Data ◽  
Digital Mapping ◽  
Interpretation Method

scholarly journals Forest Cover Change Analysis Using Remote Sensing Techniques in Madhupur Sal Forest of Bangladesh

2018 ◽  
Vol 10 (2) ◽  
pp. 73-78
Author(s):  
MA Salam ◽  
MAT Pramanik
Keyword(s):  
Remote Sensing ◽  
Forest Cover ◽  
Driving Forces ◽  
Forest Resources ◽  
Forest Monitoring ◽  
Forest Damage ◽  
Landsat 8 ◽  
Forest Cover Change ◽  
Change Analysis ◽  
Sal Forest

Deforestation, degradation, damages, transformation and over exploitation of forests are the common problem in different parts of the world. Timely monitoring and assessment of forest resources may help to address and identify the above mentioned problems and thus proper guidance may be given the forest resources manager for rational planning and management of forests. Apart from the conventional methods of forest monitoring, remote sensing with its unique capability of synoptic viewing, real time and repetitive nature offers a potential tool for monitoring and evaluation of forest resources and hence remote sensing technology has been successfully used in various studies like forest inventory, monitoring of forest cover changes and forest damage assessment. In the present research forest cover change analysis in ‘Madhupur Sal Forest’ located in central part of Bangladesh has been investigated using satellite remote sensing data and spatial analysis. Transformation of ‘Sal forest’ to other landuse has been studied using the Landsat MSS (Multi Spectral Scanner) data of 1973 and Landsat 8 OLI (Operational Land Imager) data of 2015. Driving forces behind the transformation of ‘Sal forest’ has also been investigated through GPS (Global Positioning System) based ground verification and interview with the people living in the locality.J. Environ. Sci. & Natural Resources, 10(2): 73-78 2017

scholarly journals Migration, Remittances, and Forest Cover Change in Rural Guatemala and Chiapas, Mexico

Land ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 88 ◽  
Author(s):  
Arild Angelsen ◽  
Mariel Aguilar-Støen ◽  
John Ainembabazi ◽  
Edwin Castellanos ◽  
Matthew Taylor
Keyword(s):  
Remote Sensing ◽  
Rural Communities ◽  
Forest Cover ◽  
Agricultural Land ◽  
Remote Sensing Data ◽  
Forest Loss ◽  
Household Surveys ◽  
Forest Cover Change ◽  
Household Members ◽  
Migration Flows

This article investigates how migration and remittances affect forest cover in eight rural communities in Guatemala and Chiapas, Mexico. Based on household surveys and remote sensing data, we found little evidence to support the widespread claim that migration takes pressure off forests. In the Chiapas sites, we observed no significant changes in forest cover since 1990, while in the Guatemalan sites, migration may have increased demand for agricultural land, leading to an average annual forest loss of 0.73% during the first decade of the millennium. We suggest that when attractive opportunities exist to invest in agriculture and land expansion, remittances and returnee savings provide fresh capital that is likely to increase pressure on forests. Our study also has implications for the understanding of migration flows; in particular, migration has not implied an exodus out of agriculture for the remaining household members nor for the returning migrants. On the contrary, returning migrants are more likely to be involved in farming activities after their return than they were before leaving.

scholarly journals FOREST COVER CHANGE ANALYSIS IN INNER MONGOLIA USING REMOTE SENSING DATA

2018 ◽  
Vol XLII-3 ◽  
pp. 1951-1954
Author(s):  
S. Xie ◽  
J. Gong ◽  
X. Huang
Keyword(s):  
Protected Area ◽  
Inner Mongolia ◽  
Forest Cover ◽  
Remote Sensing Data ◽  
Shape Index ◽  
Forest Area ◽  
Forest Cover Change ◽  
Forest Change ◽  
Change Analysis ◽  
Forest Patches

Forest is the lung of the earth, and it has important effect on maintaining the ecological balance of the whole earth. This study was conducted in Inner Mongolia during the year 1990–2015. Land use and land cover data were used to obtain forest cover change of Inner Mongolia. In addition, protected area data, road data, ASTER GDEM data were combined with forest cover change data to analyze the relationship between them. Moreover, patch density and landscape shape index were calculated to analyze forest change in perspective of landscape aspect. The results indicated that forest area increased overall during the study period. However, a few cities still had a phenomenon of reduced forest area. Results also demonstrated that the construction of protected area had positive effect on protecting forest while roads may disturbed forest due to human activities. In addition, forest patches in most of cities of Inner Mongolia tended to be larger and less fragmented. This paper reflected forest change in Inner Mongolia objectively, which is helpful for policy making by government.

scholarly journals Impacts of Climate Change and Remote Sensing Technology in its Mitigation Options through Forest Management

2011 ◽  
Vol 10 ◽  
pp. 16-21
Author(s):  
Rabindra Man Tamrakar
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Forest Management ◽  
Forest Cover ◽  
Global Climate ◽  
Remote Sensing Data ◽  
Developed Countries ◽  
Sensor Data ◽  
Forest Cover Change ◽  
Change Mitigation

Greenhouse effect causes global warming and its main consequence is the climate change. Average global temperature is rising significantly over the period. Despite the contribution of total GHG emission by Nepal to the global community is insignificant compared to the developed countries, Nepal has already encountered several adverse effects due to the global climate change, leading to the melting of Himalayan glaciers, reduced agriculture production, loss of biodiversity and ecosystems and changes in social structure and livelihoods. Forest land use change is responsible for CO2 emissions. Forest management therefore can play a significant role in climatic change mitigation. REDD has become the key mechanism in mitigating climate change. The success of REDD mechanism however depends primarily on availability of reliable forestry data including biomass changes and forest carbon estimates. Various Remote Sensing data including optical sensor data have been used for the analysis of forest cover change and estimation of degree of deforestation and degradation. LiDAR however has been widely used in estimating forest biomass for the climate change mitigation.

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