Analysis of Land Cover Changes in Northern Vietnam Using High Resolution Remote Sensing Data

2017 ◽  
pp. 134-151 ◽  
Author(s):  
Thanh Tung Hoang ◽  
Kenlo Nishida Nasahara ◽  
Jin Katagi
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Land Cover ◽  
Remote Sensing Data ◽  
Land Cover Changes ◽  
Sensing Data ◽  
Northern Vietnam

scholarly journals Land Cover Changes in Open-Cast Mining Complexes Based on High-Resolution Remote Sensing Data

2019 ◽  
Author(s):  
Filipe Silveira Nascimento ◽  
Markus Gastauer ◽  
Pedro Walfir M. Souza-Filho ◽  
Wilson R. Nascimento Jr. ◽  
Diogo C. Santos ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Land Cover ◽  
Land Use Changes ◽  
Remote Sensing Data ◽  
Land Cover Changes ◽  
Special Focus ◽  
Open Cast Mining ◽  
High Resolution Satellite Images ◽  
Open Cast

Remote sensing technologies may play a fundamental role in the environmental assessment of open-cast mining and the accurate quantification of mine land rehabilitation efforts. Here, we developed a systematic geographic object-based image analysis (GEOBIA) approach to map the amount of revegetated area and to quantify the land-use changes in open-cast mines in the Carajás region situated in the eastern Amazon. Based on high-resolution satellite images from 2011 to 2015 from different sensors (GeoEye, WorldView-3 and Ikonos), we quantified forests, cangas (natural metalliferous savanna ecosystems), mine land, revegetated areas and water bodies. Based on the GEOBIA approach, threshold values were established to discriminate land cover classes using spectral bands, and the NDVI and NDWI indices and LiDAR digital ground and slope models. The overall accuracy was higher than 90%, and the Kappa indices varied between 0.82 and 0.88. During the observation period, the mining complex expanded; for that, canga and forest vegetation was converted to mine land. At the same time, the amount of revegetated area increased. Thus, we conclude that our approach is capable of providing consistent information regarding land cover changes in mines, with a special focus on the amount of revegetation necessary to fulfill environmental liabilities.

scholarly journals Impact of Disturbances on the Carbon Cycle of Forest Ecosystems in Ukrainian Polissya

Forests ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 337 ◽  
Author(s):  
Petro Lakyda ◽  
Anatoly Shvidenko ◽  
Andrii Bilous ◽  
Viktor Myroniuk ◽  
Maksym Matsala ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Ecosystem Services ◽  
Land Cover ◽  
Forest Ecosystems ◽  
Remote Sensing Data ◽  
Forest Carbon ◽  
Land Cover Changes ◽  
Salvage Logging ◽  
Sensing Data ◽  
The Impact

Climate change continues to threaten forests and their ecosystem services while substantially altering natural disturbance regimes. Land cover changes and consequent management entail discrepancies in carbon sequestration provided by forest ecosystems and its accounting. Currently there is a lack of sufficient and harmonized data for Ukraine that can be used for the robust and spatially explicit assessment of forest provisioning and regulation of ecosystem services. In the frame of this research, we established an experimental polygon (area 45 km2) in Northern Ukraine aiming at estimating main forest carbon stocks and fluxes and determining the impact caused by natural disturbances and harvest for the study period of 2010–2015. Coupled field inventory and remote sensing data (RapidEye image for 2010 and SPOT 6 image for 2015) were used. Land cover classification and estimation of biomass and carbon pools were carried out using Random Forest and k-Nearest Neighbors (k-NN) method, respectively. Remote sensing data indicates a ca. 16% increase of carbon stock, while ground-based computations have shown only a ca. 1% increase. Net carbon fluxes for the study period are relatively even: 5.4 Gg C·year−1 and 5.6 Gg C C·year−1 for field and remote sensing data, respectively. Stand-replacing wildfires, as well as insect outbreaks and wind damage followed by salvage logging, and timber harvest have caused 21% of carbon emissions among all C sources within the experimental polygon during the study period. Hence, remote sensing data and non-parametric methods coupled with field data can serve as reliable tools for the precise estimation of forest carbon cycles on a regional spatial scale. However, featured land cover changes lead to unexpected biases in consistent assessment of forest biophysical parameters, while current management practices neglect natural forest dynamics and amplify negative impact of disturbances on ecosystem services.

scholarly journals Assessing Permafrost Degradation and Land Cover Changes (1986-2009) using Remote Sensing Data over Umiujaq, Sub-Arctic Québec

2015 ◽  
Vol 26 (2) ◽  
pp. 129-141 ◽  
Author(s):  
Inga Beck ◽  
Ralf Ludwig ◽  
Monique Bernier ◽  
Esther Lévesque ◽  
Julia Boike
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Remote Sensing Data ◽  
Land Cover Changes ◽  
Permafrost Degradation ◽  
Sensing Data
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