scholarly journals Change assessment of forest cover in Ghodaghodi lake area in Kailali district of Nepal

1970 ◽  
Vol 19 (2) ◽  
pp. 15-19 ◽  
Author(s):  
S Khanal
Keyword(s):  
Forest Cover ◽  
Landsat Imagery ◽  
Forest Degradation ◽  
Lake Area ◽  
Forest Cover Change ◽  
Comparison Approach ◽  
Multi Temporal ◽  
One Year

Ghodaghodi Lake in Far-West Nepal has been listed as a Ramsar Site due to its significance as a habitat for several endangered species of flora and fauna. The wetland and its surrounding area is facing deforestation, forest degradation and encroachment. In this case study, unsupervised and finally supervised classification of multi-temporal Landsat imagery covering the wetland area was applied. A post-classification comparison approach was used to derive forest cover change maps. The results depicted the loss of forest cover over a thirty- one year period, in three time slices. The highest rate of loss was observed in the 1990 to1999 time slice. Keywords: Change detection; forest cover; Ghodaghodi lake; Landsat DOI: 10.3126/banko.v19i2.2980 Banko Janakari, Vol. 19, No.2 2009 pp.15-19

scholarly journals Applying Multi-Temporal Landsat Satellite Data and Markov-Cellular Automata to Predict Forest Cover Change and Forest Degradation of Sundarban Reserve Forest, Bangladesh

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1016
Author(s):  
Mohammad Emran Hasan ◽  
Biswajit Nath ◽  
A.H.M. Raihan Sarker ◽  
Zhihua Wang ◽  
Li Zhang ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Forest Cover ◽  
Landsat Imagery ◽  
Forest Degradation ◽  
Primary Data ◽  
Forest Cover Change ◽  
The Past ◽  
The Future ◽  
Reserve Forest ◽  
Health Quality

Overdependence on and exploitation of forest resources have significantly transformed the natural reserve forest of Sundarban, which shares the largest mangrove territory in the world, into a great degradation status. By observing these, a most pressing concern is how much degradation occurred in the past, and what will be the scenarios in the future if they continue? To confirm the degradation status in the past decades and reveal the future trend, we took Sundarban Reserve Forest (SRF) as an example, and used satellite Earth observation historical Landsat imagery between 1989 and 2019 as existing data and primary data. Moreover, a geographic information system model was considered to estimate land cover (LC) change and spatial health quality of the SRF from 1989 to 2029 based on the large and small tree categories. The maximum likelihood classifier (MLC) technique was employed to classify the historical images with five different LC types, which were further considered for future projection (2029) including trends based on 2019 simulation results from 1989 and 2019 LC maps using the Markov-cellular automata model. The overall accuracy achieved was 82.30%~90.49% with a kappa value of 0.75~0.87. The historical result showed forest degradation in the past (1989–2019) of 4773.02 ha yr−1, considered as great forest degradation (GFD) and showed a declining status when moving with the projection (2019–2029) of 1508.53 ha yr−1 and overall there was a decline of 3956.90 ha yr−1 in the 1989–2029 time period. Moreover, the study also observed that dense forest was gradually degraded (good to bad) but, conversely, light forest was enhanced, which will continue in the future even to 2029 if no effective management is carried out. Therefore, by observing the GFD, through spatial forest health quality and forest degradation mapping and assessment, the study suggests a few policies that require the immediate attention of forest policy-makers to implement them immediately and ensure sustainable development in the SRF.

Opportunities for Reaping the Benefits of REDD+ in Sikkim Himalaya for Conservation and Enhancement of Carbon Stock

2017 ◽  
Vol 40 (3) ◽  
pp. 209-215
Author(s):  
Mohommad Shahid ◽  
◽  
L.K. Rai ◽  
Keyword(s):  
Climate Change ◽  
Forest Cover ◽  
Carbon Sink ◽  
Forest Degradation ◽  
Forest Cover Change ◽  
Change Analysis ◽  
Carbon Sequestration Potential ◽  
Sequestration Potential ◽  
Article 5

Paris Agreement recognized the role of forests as carbon sink for mitigation of climate change, under Article 5 as REDD+, i.e., reducing emissions from deforestation and forest degradation and role of conservation, sustainable management of forests and enhancement of forest carbon stocks. Forest cover change analysis was done between two time periods 2005 and 2015 to assess the forest degradation. Carbon sequestration potential of the forests of Sikkim for mitigating climate change is also estimated. Benefits of implementing of REDD+ in Sikkim involving local communities as stakeholder to conserve and sustainably manage the forest is assessed. Gaps and challenges faced by the stakeholder in implementing REDD+ at project level are also highlighted.

Multi-Temporal Landsat Remote Sensing for Forest Landscape Fragmentation Analysis in the Yoko Forest, Kisangani, DRC

2019 ◽  
pp. 1477-1496
Author(s):  
Jean-Fiston Mikwa Ngamba ◽  
Ewango Corneille Ekokinya ◽  
Cush Ngonzo Luwesi ◽  
Yves-Dady Botula Kahindo ◽  
Muhogwa Jean Marie ◽  
...  
Keyword(s):  
Water Resources ◽  
Large Scale ◽  
Democratic Republic Of Congo ◽  
Integrated Management ◽  
Landsat Imagery ◽  
Landscape Fragmentation ◽  
Forest Degradation ◽  
Congo Basin ◽  
Forest Landscape ◽  
Multi Temporal

This study assessed the impact of human activities on deforestation and sustainability of water resources and livelihoods in the Congo Basin. It mainly aimed to assess forest degradation in the Yoko reserve from 1976 to 2015 and investigate the compatibility of Landsat imagery for forest monitoring. Digital Image processing for unsupervised classification was done using ENVI software while supervised classification was done by means of ArcGIS 10. Results show that forest landscape faced large scale human induced fragmentation over the last 40 years. If these trends continue, they will affect the sustainability of water resources and livelihoods in the Congo Basin of the Democratic Republic of Congo. Hence, policy makers need to look at key drivers and address impacts that may threaten the future of Hydrological Ecosystems Services, including water and land resources in the Congo Basin. Authorities have to apply an Integrated Management of Water, Land and Ecosystems.

Interdependent effects of climate variability and forest cover change on streamflow dynamics: a case study in the Upper Umvoti River Basin, South Africa

2019 ◽  
Vol 19 (7) ◽  
pp. 1963-1971
Author(s):  
Karen Lebek ◽  
Cornelius Senf ◽  
David Frantz ◽  
José A. F. Monteiro ◽  
Tobias Krueger
Keyword(s):  
South Africa ◽  
Climate Variability ◽  
River Basin ◽  
Forest Cover ◽  
Forest Cover Change

scholarly journals Advanced radar-interpretation of InSAR time series for mapping and characterization of geological processes

2011 ◽  
Vol 11 (3) ◽  
pp. 865-881 ◽  
Author(s):  
F. Cigna ◽  
C. Del Ventisette ◽  
V. Liguori ◽  
N. Casagli
Keyword(s):  
Time Series ◽  
Field Surveys ◽  
Synthetic Aperture Radar Interferometry ◽  
Geological Processes ◽  
Multi Temporal ◽  
Under Sampling ◽  
Temporal Measures

Abstract. We present a new post-processing methodology for the analysis of InSAR (Synthetic Aperture Radar Interferometry) multi-temporal measures, based on the temporal under-sampling of displacement time series, the identification of potential changes occurring during the monitoring period and, eventually, the classification of different deformation behaviours. The potentials of this approach for the analysis of geological processes were tested on the case study of Naro (Italy), specifically selected due to its geological setting and related ground instability of unknown causes that occurred in February 2005. The time series analysis of past (ERS1/2 descending data; 1992–2000) and current (RADARSAT-1 ascending data; 2003–2007) ground movements highlighted significant displacement rates (up to 6 mm yr−1) in 2003–2007, followed by a post-event stabilization. The deformational behaviours of instable areas involved in the 2005 event were also detected, clarifying typology and kinematics of ground instability. The urban sectors affected and unaffected by the event were finally mapped, consequently re-defining and enlarging the influenced area previously detected by field observations. Through the integration of InSAR data and conventional field surveys (i.e. geological, geomorphologic and geostructural campaigns), the causes of instability were finally attributed to tectonics.

scholarly journals Forest cover change prediction using hybrid methodology of geoinformatics and Markov chain model: A case study on sub-Himalayan town Gangtok, India

2014 ◽  
Vol 123 (6) ◽  
pp. 1349-1360 ◽  
Author(s):  
Anirban Mukhopadhyay ◽  
Arun Mondal ◽  
Sandip Mukherjee ◽  
Dipam Khatua ◽  
Subhajit Ghosh ◽  
...  
Keyword(s):  
Markov Chain ◽  
Forest Cover ◽  
Markov Chain Model ◽  
Chain Model ◽  
Forest Cover Change ◽  
Change Prediction ◽  
Hybrid Methodology

scholarly journals Value Chain of Charcoal Production and Implications for Forest Degradation: Case Study of Bié Province, Angola

Environments ◽  
2018 ◽  
Vol 5 (11) ◽  
pp. 113 ◽  
Author(s):  
Vasco Chiteculo ◽  
Bohdan Lojka ◽  
Peter Surový ◽  
Vladimir Verner ◽  
Dimitrios Panagiotidis ◽  
...  
Keyword(s):  
Value Chain ◽  
Forest Cover ◽  
Forest Degradation ◽  
Primary Data ◽  
Natural Forests ◽  
Forest Cover Change ◽  
Charcoal Production ◽  
Order Of Magnitude ◽  
Alternative Sources ◽  
Urban Consumption

Forest degradation and forest loss threaten the survival of many species and reduce the ability of forests to provide vital services. Clearing for agriculture in Angola is an important driver of forest degradation and deforestation. Charcoal production for urban consumption as a driver of forest degradation has had alarming impacts on natural forests, as well as on the social and economic livelihood of the rural population. The charcoal impact on forest cover change is in the same order of magnitude as deforestation caused by agricultural expansion. However, there is a need to monitor the linkage between charcoal production and forest degradation. The aim of this paper is to investigate the sequence of the charcoal value chain as a systematic key to identify policies to reduce forest degradation in the province of Bié. It is a detailed study of the charcoal value chain that does not stop on the production and the consumption side. The primary data of this study came from 330 respondents obtained through different methods (semi-structured questionnaire survey and market observation conducted in June to September 2013–2014). A logistic regression (logit) model in IBM SPSS Statistics 24 (IBM Corp, Armonk, NY, USA) was used to analyze the factors influencing the decision of the households to use charcoal for domestic purposes. The finding indicates that 21 to 27 thousand hectares were degraded due to charcoal production. By describing the chain of charcoal, it was possible to access the driving factors for charcoal production and to obtain the first-time overview flow of charcoal from producers to consumers in Bié province. The demand for charcoal in this province is more likely to remain strong if government policies do not aim to employ alternative sources of domestic energy.

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