[HTML][HTML] A review of machine learning models and influential factors for estimating evapotranspiration using remote sensing and ground-based data
S Amani, H Shafizadeh-Moghadam - Agricultural Water Management, 2023 - Elsevier
In the era of water scarcity and severe droughts, the accurate estimation of
evapotranspiration (ET) is crucial for the efficient management of water resources …
evapotranspiration (ET) is crucial for the efficient management of water resources …
Uncertainty analysis of digital elevation models by spatial inference from stable terrain
R Hugonnet, F Brun, E Berthier… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The monitoring of Earth's and planetary surface elevations at larger and finer scales is
rapidly progressing through the increasing availability and resolution of digital elevation …
rapidly progressing through the increasing availability and resolution of digital elevation …
[HTML][HTML] An optical flow-based terrain extraction framework of VHR optical satellite stereo images
X Wang, M Wang, Y Pi - International Journal of Applied Earth Observation …, 2023 - Elsevier
Stereo vision has attracted much interest in computer vision and remote sensing. Large-
scale terrain extraction from optical satellites has achieved various applications due to the …
scale terrain extraction from optical satellites has achieved various applications due to the …
An evaluation of PlanetScope images for 3D reconstruction and change detection–experimental validations with case studies
The PlanetScope satellite constellation has over 130 Dove satellites running 24/7, which
collect weekly and even daily images globally at 3–5 m resolution. It has global data …
collect weekly and even daily images globally at 3–5 m resolution. It has global data …
High-resolution CubeSat imagery and machine learning for detailed snow-covered area
Snow cover affects a diverse array of physical, ecological, and societal systems. As such, the
development of optical remote sensing techniques to measure snow-covered area (SCA) …
development of optical remote sensing techniques to measure snow-covered area (SCA) …
An object-based ground filtering of airborne lidar data for large-area dtm generation
Digital terrain model (DTM) creation is a modeling process that represents the Earth's
surface. An aptly designed DTM generation method tailored for intended study can …
surface. An aptly designed DTM generation method tailored for intended study can …
[HTML][HTML] Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry:(II) optimizing acquisition configurations
The optimal configurations for very high-resolution (VHR,< 2 m) spaceborne imagery
collection to support stereogrammetry over complex forested terrain remain uncertain. We …
collection to support stereogrammetry over complex forested terrain remain uncertain. We …
Dye tracing and concentration mapping in coastal waters using unmanned aerial vehicles
Coastal water flows facilitate important nutrient exchanges between mangroves, seagrasses
and coral reefs. However, due to the complex nature of tidal interactions, their …
and coral reefs. However, due to the complex nature of tidal interactions, their …
Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale
Sustainable tree resource management is the key to mitigating climate warming, fostering a
green economy, and protecting valuable habitats. Detailed knowledge about tree resources …
green economy, and protecting valuable habitats. Detailed knowledge about tree resources …
Automated aerial animal detection when spatial resolution conditions are varied
Knowing where livestock are located enables optimized management and mustering.
However, Australian farms are large meaning that many of Australia's livestock are …
However, Australian farms are large meaning that many of Australia's livestock are …