A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

D Lu, Q Chen, G Wang, L Liu, G Li… - International Journal of …, 2016 - Taylor & Francis
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …

A survey of image classification methods and techniques for improving classification performance

D Lu, Q Weng - International journal of Remote sensing, 2007 - Taylor & Francis
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 …

[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

CA Almeida, AC Coutinho, JCDM Esquerdo… - Acta …, 2016 - SciELO Brasil
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 …

[HTML][HTML] Land use/land cover (LULC) using landsat data series (MSS, TM, ETM+ and OLI) in Azrou Forest, in the Central Middle Atlas of Morocco

M Mohajane, ALI Essahlaoui, F Oudija, ME Hafyani… - Environments, 2018 - mdpi.com
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 …

Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery

F Yuan, ME Bauer - Remote Sensing of environment, 2007 - Elsevier
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 …

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 …

Mapping croplands, cropping patterns, and crop types using MODIS time-series data

Y Chen, D Lu, E Moran, M Batistella, LV Dutra… - International journal of …, 2018 - Elsevier
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 …

[HTML][HTML] Classification of land cover, forest, and tree species classes with ZiYuan-3 multispectral and stereo data

Z Xie, Y Chen, D Lu, G Li, E Chen - Remote Sensing, 2019 - mdpi.com
The global availability of high spatial resolution images makes mapping tree species
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 …

[HTML][HTML] Improving the accuracy of land use and land cover classification of Landsat data using post-classification enhancement

R Manandhar, IOA Odeh, T Ancev - Remote Sensing, 2009 - mdpi.com
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 …