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Deep learning meets object-based image analysis: Tasks, challenges, strategies, and perspectives
Deep learning has gained significant attention in remote sensing, especially in pixel-or
patch-level applications. Despite initial attempts to integrate deep learning into object-based …
patch-level applications. Despite initial attempts to integrate deep learning into object-based …
[HTML][HTML] VICAL: Global calculator to estimate vegetation indices for agricultural areas with Landsat and Sentinel-2 Data
The vegetation indices (VIs) estimated from remotely sensed data are simple and based on
effective algorithms for quantitative and qualitative evaluations of the dynamics of …
effective algorithms for quantitative and qualitative evaluations of the dynamics of …
[HTML][HTML] Extraction of Broad-Leaved tree crown based on UAV visible images and OBIA-RF model: A case study for Chinese Olive Trees
K Yang, H Zhang, F Wang, R Lai - Remote Sensing, 2022 - mdpi.com
Chinese olive trees (Canarium album L.) are broad-leaved species that are widely planted
in China. Accurately obtaining tree crown information provides important data for evaluating …
in China. Accurately obtaining tree crown information provides important data for evaluating …
[HTML][HTML] Deriving potential evapotranspiration from satellite-based reference evapotranspiration, Upper Tekeze Basin, Northern Ethiopia
Abstract Study region Zamra catchment, Upper Tekeze Basin, Northern Ethiopia. Study
focus Direct field estimates of potential evapotranspiration (PET) remain a challenge …
focus Direct field estimates of potential evapotranspiration (PET) remain a challenge …
UAV-based multispectral image analytics for generating crop coefficient maps for rice
Crop coefficients are important to determine crop evapotranspiration (ETc), seasonal crop
water requirement, and irrigation water depth. Similarities between the curve of crop …
water requirement, and irrigation water depth. Similarities between the curve of crop …
Evaluation of gridded datasets for terrestrial water budget assessment in the Upper Jhelum River Basin-South Asia
The study presents a comprehensive assessment of the key terrestrial water budget (TWB)
components and their recent temporal trends using observed and gridded datasets across …
components and their recent temporal trends using observed and gridded datasets across …
Assessing Maize Yield Spatiotemporal Variability Using Unmanned Aerial Vehicles and Machine Learning
Optimizing the prediction of maize (Zea mays L.) yields in smallholder farming systems
enhances crop management and thus contributes to reducing hunger and achieving one of …
enhances crop management and thus contributes to reducing hunger and achieving one of …
Summer maize growth estimation based on near-surface multi-source data
J Zhao, F Pan, X ** gaps in sugarcane by UAV RGB imagery: The lower and earlier the flight, the more accurate
Imagery data prove useful for map** gaps in sugarcane. However, if the quality of data is
poor or the moment of flying an aerial platform is not compatible to phenology, prediction …
poor or the moment of flying an aerial platform is not compatible to phenology, prediction …
Study on the changes in concentration of air pollutants and influencing factors in road green spaces in Nan**g City during autumn and winter
C Liu, A Dai, Q Sheng, Z Zhu - Atmospheric Pollution Research, 2024 - Elsevier
Based on low-altitude remote sensing of UAV and field monitoring on three roads in
Nan**g, this study used the normalized difference vegetation index (NDVI) one-dimensional …
Nan**g, this study used the normalized difference vegetation index (NDVI) one-dimensional …