[HTML][HTML] Advances in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges
For many applications, raw satellite observations need to be converted to high-level
products of various essential environmental variables. While numerous products are …
products of various essential environmental variables. While numerous products are …
Advancements in satellite image classification: methodologies, techniques, approaches and applications
Segmentation and classification are two imperative, yet challenging tasks in image analysis
for remote-sensing applications. In the former, an image is divided into spatially continuous …
for remote-sensing applications. In the former, an image is divided into spatially continuous …
[HTML][HTML] Quantifying how topography impacts vegetation indices at various spatial and temporal scales
Satellite-derived vegetation indices (VIs) have been extensively used in monitoring
vegetation dynamics at local, regional, and global scales. While numerous studies have …
vegetation dynamics at local, regional, and global scales. While numerous studies have …
Automated mapping of Antarctic supraglacial lakes using a machine learning approach
Supraglacial lakes can have considerable impact on ice sheet mass balance and global sea-
level-rise through ice shelf fracturing and subsequent glacier speedup. In Antarctica, the …
level-rise through ice shelf fracturing and subsequent glacier speedup. In Antarctica, the …
Combinational shadow index for building shadow extraction in urban areas from Sentinel-2A MSI imagery
Abstract Images from Multispectral Instrument (MSI) on Sentinel-2A are useful for studies of
urban environments and their spatio-temporal changes. However, the frequent occurrence …
urban environments and their spatio-temporal changes. However, the frequent occurrence …
Evaluation and intercomparison of topographic correction methods based on Landsat images and simulated data
Topographic effects in medium and high spatial resolution remote sensing images greatly
limit the application of quantitative parameter retrieval and analysis in mountainous areas …
limit the application of quantitative parameter retrieval and analysis in mountainous areas …
A shadow-eliminated vegetation index (SEVI) for removal of self and cast shadow effects on vegetation in rugged terrains
H Jiang, S Wang, X Cao, C Yang… - International Journal of …, 2019 - Taylor & Francis
The effect of terrain shadow, including the self and cast shadows, is one of the main
obstacles for accurate retrieval of vegetation parameters by remote sensing in rugged …
obstacles for accurate retrieval of vegetation parameters by remote sensing in rugged …
Vegetation monitoring for mountainous regions using a new integrated topographic correction (ITC) of the SCS+ C correction and the shadow-eliminated vegetation …
The mountainous vegetation is important to regional sustainable development. However, the
topographic effect is the main obstacle to the monitoring of mountainous vegetation using …
topographic effect is the main obstacle to the monitoring of mountainous vegetation using …
The shadow effect on surface biophysical variables derived from remote sensing: a review
In remote sensing (RS), shadows play an important role, commonly affecting the quality of
data recorded by remote sensors. It is, therefore, of the utmost importance to detect and …
data recorded by remote sensors. It is, therefore, of the utmost importance to detect and …
[HTML][HTML] Cast shadows reveal changes in glacier surface elevation
M Pfau, G Veh, W Schwanghart - The Cryosphere, 2023 - tc.copernicus.org
Increased rates of glacier retreat and thinning need accurate local estimates of glacier
elevation change to predict future changes in glacier runoff and their contribution to sea …
elevation change to predict future changes in glacier runoff and their contribution to sea …