Bridging optical and SAR satellite image time series via contrastive feature extraction for crop classification
Precise crop map** is crucial for guiding agricultural production, forecasting crop yield,
and ensuring food security. Integrating optical and synthetic aperture radar (SAR) satellite …
and ensuring food security. Integrating optical and synthetic aperture radar (SAR) satellite …
Improvements in forest segmentation accuracy using a new deep learning architecture and data augmentation technique
Y He, K Jia, Z Wei - Remote Sensing, 2023 - mdpi.com
Forests are critical to mitigating global climate change and regulating climate through their
role in the global carbon and water cycles. Accurate monitoring of forest cover is, therefore …
role in the global carbon and water cycles. Accurate monitoring of forest cover is, therefore …
[HTML][HTML] A geospatial approach in modelling the morphometric characteristics and course of Brahmaputra river using sinuosity index
A Suresh, A Chanda, ZA Rahaman, AA Kafy… - Environmental and …, 2022 - Elsevier
Shifting of a river channel occurs continuously in the deltas and is a major predicament as it
influences the land use and land cover of a region. Hence it is significant to understand the …
influences the land use and land cover of a region. Hence it is significant to understand the …
Water Body Extraction of the Weihe River Basin Based on MF-SegFormer Applied to Landsat8 OLI Data
In the era of big data, making full use of remote sensing images to automatically extract
surface water bodies (WBs) in complex environments is extremely challenging. Due to the …
surface water bodies (WBs) in complex environments is extremely challenging. Due to the …
In-Memory Distributed Mosaicking for Large-Scale Remote Sensing Applications with Geo-Gridded Data Staging on Alluxio
Y Ma, J Song, Z Zhang - Remote Sensing, 2022 - mdpi.com
The unprecedented availability of petascale analysis-ready earth observation data has
given rise to a remarkable surge in demand for regional to global environmental studies …
given rise to a remarkable surge in demand for regional to global environmental studies …
Weakly supervised spatial deep learning for earth image segmentation based on imperfect polyline labels
In recent years, deep learning has achieved tremendous success in image segmentation for
computer vision applications. The performance of these models heavily relies on the …
computer vision applications. The performance of these models heavily relies on the …
Map** large-scale Plateau forest in Sanjiangyuan using high-resolution satellite imagery and few-shot learning
Monitoring the extent of plateau forests has drawn much attention from governments given
the fact that the plateau forests play a key role in global carbon circulation. Despite the …
the fact that the plateau forests play a key role in global carbon circulation. Despite the …
[HTML][HTML] EDWNet: A Novel Encoder–Decoder Architecture Network for Water Body Extraction from Optical Images
T Zhang, W Ji, W Li, C Qin, T Wang, Y Ren, Y Fang… - Remote Sensing, 2024 - mdpi.com
Automated water body (WB) extraction is one of the hot research topics in the field of remote
sensing image processing. To address the challenges of over-extraction and incomplete …
sensing image processing. To address the challenges of over-extraction and incomplete …
A combined color and wave-based approach to satellite derived bathymetry using deep learning
M Al Najar, Y El Bennioui, G Thoumyre… - XXIV ISPRS Congress …, 2022 - hal.science
Knowledge of the evolution of the littoral zone over time is paramount for coastal science
and coastal zone management. However, traditional bathymetric surveys using echo …
and coastal zone management. However, traditional bathymetric surveys using echo …
[HTML][HTML] Analysis of the hydrological regime of the Gulf of Ob in the freezing period using SMOS data
VV Tikhonov, AN Romanov, IV Khvostov… - Российская …, 2022 - cyberleninka.ru
The Gulf of Ob is a unique ecosystem characterized by a complex interaction of river and
sea factors. It is exposed to extremely strong seasonal pressure of highly variable …
sea factors. It is exposed to extremely strong seasonal pressure of highly variable …