Deforestation and carbon loss estimation at tropical forest using multispectral remote sensing: Case study of Besul Tambahan Permanent Forest Reserve

2015 ◽  
Author(s):  
Zulkiflee Abd Latif ◽  
Hud Mohamad Zaqwan ◽  
Mohamed Saufi ◽  
Nor Aizam Adnan ◽  
Hamdan Omar
Keyword(s):  
Remote Sensing ◽  
Tropical Forest ◽  
Loss Estimation ◽  
Carbon Loss ◽  
Forest Reserve ◽  
Multispectral Remote Sensing

scholarly journals Monitoring Drought using Multispectral Remote Sensing – A Case Study

2021 ◽  
Vol 1145 (1) ◽  
pp. 012086
Author(s):  
V Vanajith ◽  
Susan G Daniel ◽  
S Rugma ◽  
M Dhanya
Keyword(s):  
Remote Sensing ◽  
Multispectral Remote Sensing

scholarly journals Mining impacts on forest cover change in a tropical forest using remote sensing and spatial information from 2001–2019: A case study of Odisha (India)

2022 ◽  
Vol 302 ◽  
pp. 114067
Author(s):  
Manoranjan Mishra ◽  
Celso Augusto Guimarães Santos ◽  
Thiago Victor Medeiros do Nascimento ◽  
Manoj Kumar Dash ◽  
Richarde Marques da Silva ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Tropical Forest ◽  
Forest Cover ◽  
Spatial Information ◽  
Forest Cover Change ◽  
Mining Impacts

scholarly journals MONITORING THE RATE OF EXPANSION OF AGRICULTURAL FIELDS IN MWEKERA FOREST RESERVE USING REMOTE SENSING AND GIS

2019 ◽  
Vol XLII-3/W6 ◽  
pp. 377-380
Author(s):  
K. Kanja ◽  
M. Mwemba ◽  
K. Malunga
Keyword(s):  
Remote Sensing ◽  
Accuracy Assessment ◽  
Remote Sensing And Gis ◽  
Agricultural Fields ◽  
Urban Migration ◽  
Landsat Images ◽  
Forest Reserve ◽  
Job Opportunities ◽  
Analysis Technique

<p><strong>Abstract.</strong> Rapid population growth and rural-urban migration amidst limited job opportunities lead to conversion of land from forests into agriculture and other land uses. In this study, Zambia’s Mwekera national forest reserve was used as a case study to assess the rate of expansion of agricultural fields using remote sensing and GIS. Iterative Self-Organizing Data Analysis Technique (ISODATA) as well as maximum likelihood supervised classification on four Landsat images as well as accuracy assessment of the classifications was performed. Over the period under observation, results indicate annual percentage changes to be &amp;minus;0.03, &amp;minus;0.49 and 1.26 for agriculture, forests and settlement respectively indicating a higher conversion of forests into human settlements and agriculture.</p>

Multispectral remote sensing for post‐dictive analysis of archaeological remains. A case study from Bronte (Sicily)

2019 ◽  
Vol 26 (4) ◽  
pp. 299-311 ◽  
Author(s):  
Andrea Gennaro ◽  
Alessio Candiano ◽  
Gabriele Fargione ◽  
Michele Mangiameli ◽  
Giuseppe Mussumeci
Keyword(s):  
Remote Sensing ◽  
Archaeological Remains ◽  
Multispectral Remote Sensing

Assessment of Forest Encroachment Using Remote Sensing Technique. Case Study: Mentigi Forest Reserve, Cameron Highlands

2015 ◽  
Vol 73 (5) ◽  
Author(s):  
Mohd Hayyi Mat Zin ◽  
Baharin Ahmad
Keyword(s):  
Remote Sensing ◽  
Open Space ◽  
Ground Truth ◽  
Forest Reserve ◽  
Ground Truth Data ◽  
Remote Sensing Technique ◽  
Cameron Highlands ◽  
Hybrid Classification ◽  
Spot 5

Agriculture is one of the biggest and profitable activities in Cameron Highlands, Malaysia. High quality plantation products such as tea, vegetable, fruits and flower have high demand in Malaysia. These profitable activities however have caused illegal agriculture and farming. Farmers tend to extent their farm by encroaching government lands and take advantage on any open space for illegal farming. These encroachment activities have affected forest reserve area including Mentigi Forest Reserve (MFR). This study is to identify and evaluate the encroachment activities within MFR area using multiple remote sensing datasets (SPOT 5 and IKONOS). Cadastral parcel map was used to delineate the MFR area and also provide the actual size of MFR area. Hybrid classification method was used on remote sensing image to classify the land-cover in the study area. Ground truth data from field observation were used to assess the accuracy of the classification. Results of this study showed the technique used was able to identify encroachment activities such as agriculture and development. The total encroachment area in MFR was about 2.8 ha in 2001 and has increased to about 7.3 ha in 2010. These encroachment areas represent 0.39% and 1.46% respectively. This area might be small but it may affect the forest ecosystem which can lead to hazardous natural disaster if not well monitored and managed.

Soil loss estimation using RUSLE model, GIS and remote sensing techniques: A case study from the Dembecha Watershed, Northwestern Ethiopia

2017 ◽  
Vol 11 ◽  
pp. 28-36 ◽  
Author(s):  
Yaser Ostovari ◽  
Shoja Ghorbani-Dashtaki ◽  
Hossein-Ali Bahrami ◽  
Mehdi Naderi ◽  
Jose Alexandre Melo Dematte
Keyword(s):  
Remote Sensing ◽  
Soil Loss ◽  
Loss Estimation ◽  
Gis And Remote Sensing ◽  
Rusle Model ◽  
Remote Sensing Techniques

scholarly journals The dangers of conservation by rural development – a case-study from the forests of Nigeria

Oryx ◽  
1995 ◽  
Vol 29 (2) ◽  
pp. 115-122 ◽  
Author(s):  
John F. Oates
Keyword(s):  
Rural Development ◽  
Tropical Forest ◽  
Threatened Species ◽  
Agricultural Development ◽  
Wildlife Sanctuary ◽  
Forest Reserve ◽  
The Earth ◽  
South West ◽  
Migrant Farmers

The Okomu Forest Reserve in south-west Nigeria contains a 114-sq-km wildlife sanctuary that is an important refuge for several threatened species, including the white-throated guenon Cercopithecus erythrogaster. A conservation project that started in Okomu in 1987 focused initially on protection, but the emphasis recently shifted to a programme of agricultural development assistance to migrant farmers in the reserve. This approach, which appears to follow the philosophy espoused in IUCN/UNEP/WWF's Caring for the Earth, may hasten rather than prevent the destruction of this remnant tropical forest and its wildlife.

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