Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review
Wetland vegetation plays a key role in the ecological functions of wetland environments.
Remote sensing techniques offer timely, up-to-date, and relatively accurate information for …
Remote sensing techniques offer timely, up-to-date, and relatively accurate information for …
Remote sensing imagery in vegetation mapping: a review
Y Xie, Z Sha, M Yu - Journal of plant ecology, 2008 - academic.oup.com
Aims Mapping vegetation through remotely sensed images involves various considerations,
processes and techniques. Increasing availability of remotely sensed images due to the …
processes and techniques. Increasing availability of remotely sensed images due to the …
Mapping vegetation and land use types in Fanjingshan National Nature Reserve using google earth engine
Fanjingshan National Nature Reserve (FNNR) is a biodiversity hotspot in China that is part
of a larger, multi-use landscape where farming, grazing, tourism, and other human activities …
of a larger, multi-use landscape where farming, grazing, tourism, and other human activities …
Monitoring and mapping vegetation cover changes in arid and semi-arid areas using remote sensing technology: a review
Vegetation cover change is one of the key indicators used for monitoring environmental
quality. It can accurately reflect changes in hydrology, climate, and human activities …
quality. It can accurately reflect changes in hydrology, climate, and human activities …
Distinguishing algal blooms from aquatic vegetation in Chinese lakes using Sentinel 2 image
Algal blooms frequently occur in numerous lakes in China, risking human health and the
environment. In contrast, aquatic vegetation contributes to water purification. Due to the …
environment. In contrast, aquatic vegetation contributes to water purification. Due to the …
The impact of spatial resolution on the classification of vegetation types in highly fragmented planting areas based on unmanned aerial vehicle hyperspectral images
Fine classification of vegetation types has always been the focus and difficulty in the
application field of remote sensing. Unmanned Aerial Vehicle (UAV) sensors and platforms …
application field of remote sensing. Unmanned Aerial Vehicle (UAV) sensors and platforms …
Integrated topographic corrections improve forest mapping using Landsat imagery
In mountainous environments, topography strongly affects the reflectance due to illumination
effects and cast shadows, which introduce errors in land cover classifications. However …
effects and cast shadows, which introduce errors in land cover classifications. However …
[HTML][HTML] Does environmental data increase the accuracy of land use and land cover classification?
LB Zeferino, LFT de Souza, CH do Amaral… - International Journal of …, 2020 - Elsevier
Optical image classification converts spectral data into thematic information from the spectral
signature of each object in the image. However, spectral separability is influenced by …
signature of each object in the image. However, spectral separability is influenced by …
Socio-environmental land cover time-series analysis of mining landscapes using Google Earth Engine and web-based mapping
MLE Ang, D Arts, D Crawford, BV Labatos Jr… - Remote Sensing …, 2021 - Elsevier
Mining contributes to land cover changes, directly and indirectly affecting the natural
landscape and local communities. The need for robust analyses of social and environmental …
landscape and local communities. The need for robust analyses of social and environmental …
Improving accuracy of Landsat-8 OLI classification using image composite and multisource data with Google Earth Engine
KA Adepoju, SA Adelabu - Remote Sensing Letters, 2020 - Taylor & Francis
Land use and land cover (LULC) mapping is very important for evaluation and management
of natural resources. Classification of remote sensing data in mountainous and other …
of natural resources. Classification of remote sensing data in mountainous and other …