Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Optical vegetation indices for monitoring terrestrial ecosystems globally
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future …
Vegetation cover fraction (fCover) and related quantities are basic yet critical vegetation
structure variables in various disciplines and applications. Ground-and aerial-based …
structure variables in various disciplines and applications. Ground-and aerial-based …
Globally quantitative analysis of the impact of atmosphere and spectral response function on 2-band enhanced vegetation index (EVI2) over Sentinel-2 and Landsat-8
The 2-band enhanced vegetation index (EVI2) was developed as an alternative to the
enhanced vegetation index (EVI) for sensors that lack a blue band or for observing bright …
enhanced vegetation index (EVI) for sensors that lack a blue band or for observing bright …
Evaluating the potential of airborne hyperspectral LiDAR for assessing forest insects and diseases with 3D Radiative Transfer Modeling
Accurately monitoring forest insects and diseases disturbances is important for managing
forests and implementing effective forest quality improvement measures. However …
forests and implementing effective forest quality improvement measures. However …
Monitoring restored tropical forest diversity and structure through UAV-borne hyperspectral and lidar fusion
Remote sensors, onboard orbital platforms, aircraft, or unmanned aerial vehicles (UAVs)
have emerged as a promising technology to enhance our understanding of changes in …
have emerged as a promising technology to enhance our understanding of changes in …
[HTML][HTML] Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery
Mangrove forests are vulnerable ecosystems that require broad-scale monitoring. Various
solutions based on satellite imagery have emerged for this purpose but still suffer from the …
solutions based on satellite imagery have emerged for this purpose but still suffer from the …
Tree species classification in tropical forests using visible to shortwave infrared WorldView-3 images and texture analysis
Tropical forest conservation and management can significantly benefit from information
about the spatial distribution of tree species. Very-high resolution (VHR) spaceborne …
about the spatial distribution of tree species. Very-high resolution (VHR) spaceborne …
3D radiative transfer modeling of structurally complex forest canopies through a lightweight boundary-based description of leaf clusters
J Qi, D ** using SAR sentinel-1 data and advanced machine learning algorithms: A case study at Ben Tre Province of the Mekong River Delta …
Soil salinity caused by climate change associated with rising sea level is considered as one
of the most severe natural hazards that has a negative effect on agricultural activities in the …
of the most severe natural hazards that has a negative effect on agricultural activities in the …