Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review

E Adam, O Mutanga, D Rugege - Wetlands ecology and management, 2010 - Springer
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 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 …

Mapping vegetation and land use types in Fanjingshan National Nature Reserve using google earth engine

YH Tsai, D Stow, HL Chen, R Lewison, L An, L Shi - Remote Sensing, 2018 - mdpi.com
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 …

Monitoring and mapping vegetation cover changes in arid and semi-arid areas using remote sensing technology: a review

R Almalki, M Khaki, PM Saco, JF Rodriguez - Remote Sensing, 2022 - mdpi.com
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 …

Distinguishing algal blooms from aquatic vegetation in Chinese lakes using Sentinel 2 image

J Pu, K Song, Y Lv, G Liu, C Fang, J Hou, Z Wen - Remote Sensing, 2022 - mdpi.com
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 …

The impact of spatial resolution on the classification of vegetation types in highly fragmented planting areas based on unmanned aerial vehicle hyperspectral images

M Liu, T Yu, X Gu, Z Sun, J Yang, Z Zhang, X Mi… - Remote Sensing, 2020 - mdpi.com
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 …

Integrated topographic corrections improve forest mapping using Landsat imagery

H Yin, B Tan, D Frantz, VC Radeloff - International Journal of Applied Earth …, 2022 - Elsevier
In mountainous environments, topography strongly affects the reflectance due to illumination
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 …

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 …

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 …