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The 2nd Conference of the Digital Belt and Road (DBAR 2017) and the 3rd International Conference on Remote Sensing Applications in Tropical and Subtropical Areas (RSATSA 2017) will be held in Hong Kon...
Leaf Area Index (LAI) has been defined as the total leaf area (one-sided) in relation to the ground. LAI has an impact on tree growth and recruitment through the interception of light, which in turn a...
In recent years, the methods for detecting structural changes in time series have been adapted for forest disturbance monitoring using satellite data. The BFAST (Breaks For Additive Season and Trend) ...
This paper describes the combination of multi-data in stratifying the natural evergreen broadleaved tropical forest of the Central Highlands of Vietnam. The forests were stratified using both unsuperv...
A cloud masking approach based on multi-temporal satellite images is proposed. The basic idea of this approach is to detect cloud and cloud shadow by using the difference reflectance values between cl...
Satellite data from Moderate Resolution Imaging Radiometer (MODIS) is currently being used to extract net primary production (NPP) at global scale. Over the years, small scale on-ground flux tower mea...
Amongst the impacts of converting forest to agricultural activities is the degradation of ecology service values and goods (ESVG). Impacts on ESVG can be devastating in environmental,biological, and s...
Tropical forest cover is changing in many parts of the World and got attention to the global community since it is one of the main drivers of climate change. Microwave sensor data is useful to monitor...
The present study addresses the potential of Synthetic Aperture Radar (SAR) data for land cover classification in parts of Dandeli forested regions, Karnataka, India. a FCC has been generated from coh...
Poverty in rural areas of developing countries is one of the major global issues. Economic growth in rural areas of Sri Lanka has been significantly lower than in the urban areas, especially around Co...
Traditional spectral classification of remote sensing data applied on per pixel basis ignores the potentially useful spatial information between the values of proximate pixels. Although spatial inform...
Tree species mapping in tropical forests provides valuable insights for forest managers. Keystone species can be located for collection of seeds for forest restoration, reducing fieldwork costs. Howev...
Estimation and mapping of tropical forest biomass is important for periodic carbon accounting, as tropical deforestation is one of the major sources of terrestrial carbon emission in the recent decad...
Topographic correction is an important data preprocessing step when land cover classification and quantitative analysis of multispectral data are carried out in mountainous regions. Solar illuminatio...
Deforestation still nowadays occurs at an alarming rate in tropical regions. Forest monitoring is required to delineate the extents of deforested areas based on high resolution satellite images (SPOT)...

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