A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …
ecosystems have gained increased attention, and substantial research has been conducted …
A survey of image classification methods and techniques for improving classification performance
Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …
examines current practices, problems, and prospects of image classification. The emphasis …
[HTML][HTML] High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data
Understanding spatial patterns of land use and land cover is essential for studies
addressing biodiversity, climate change and environmental modeling as well as for the …
addressing biodiversity, climate change and environmental modeling as well as for the …
Land use/land cover (LULC) using landsat data series (MSS, TM, ETM+ and OLI) in Azrou Forest, in the Central Middle Atlas of Morocco
The study of land use/land cover (LULC) has become an increasingly important stage in the
development of forest ecosystems strategies. Hence, the main goal of this study was to …
development of forest ecosystems strategies. Hence, the main goal of this study was to …
Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery
This paper compares the normalized difference vegetation index (NDVI) and percent
impervious surface as indicators of surface urban heat island effects in Landsat imagery by …
impervious surface as indicators of surface urban heat island effects in Landsat imagery by …
The potential and challenge of remote sensing‐based biomass estimation
D Lu - International journal of remote sensing, 2006 - Taylor & Francis
Remotely sensed data have become the primary source for biomass estimation. A summary
of previous research on remote sensing‐based biomass estimation approaches and a …
of previous research on remote sensing‐based biomass estimation approaches and a …
Mapping croplands, cropping patterns, and crop types using MODIS time-series data
The importance of mapping regional and global cropland distribution in timely ways has
been recognized, but separation of crop types and multiple cropping patterns is challenging …
been recognized, but separation of crop types and multiple cropping patterns is challenging …
Classification of land cover, forest, and tree species classes with ZiYuan-3 multispectral and stereo data
The global availability of high spatial resolution images makes mapping tree species
distribution possible for better management of forest resources. Previous research mainly …
distribution possible for better management of forest resources. Previous research mainly …
Spatial and temporal variations of urban heat island effect and the effect of percentage impervious surface area and elevation on land surface temperature: Study of …
A Mathew, S Khandelwal, N Kaul - Sustainable Cities and Society, 2016 - Elsevier
Significant surface urban heat island (SUHI) has been observed in the Chandigarh study
area from the analysis of five years land surface temperature (LST) data from 2009 to 2013 …
area from the analysis of five years land surface temperature (LST) data from 2009 to 2013 …
Improving the accuracy of land use and land cover classification of Landsat data using post-classification enhancement
Classifying remote sensing imageries to obtain reliable and accurate land use and land
cover (LULC) information still remains a challenge that depends on many factors such as …
cover (LULC) information still remains a challenge that depends on many factors such as …