Machine learning-based approaches for predicting SPAD values of maize using multi-spectral images

Y Guo, S Chen, X Li, M Cunha, S Jayavelu… - Remote sensing, 2022 - mdpi.com
Precisely monitoring the growth condition and nutritional status of maize is crucial for
optimizing agronomic management and improving agricultural production. Multi-spectral …

Monitoring of changes in land use/land cover in Syria from 2010 to 2018 using multitemporal landsat imagery and GIS

MA Mohamed, J Anders, C Schneider - Land, 2020 - mdpi.com
Understanding the effects of socio-ecological shocks on land use/land cover (LULC) change
is essential for develo** land management strategies and for reducing adverse …

Spatial validation of spectral unmixing results: A systematic review

RM Cavalli - Remote Sensing, 2023 - mdpi.com
The pixels of remote images often contain more than one distinct material (mixed pixels),
and so their spectra are characterized by a mixture of spectral signals. Since 1971, a shared …

A hybrid deep learning-based spatiotemporal fusion method for combining satellite images with different resolutions

D Jia, C Cheng, C Song, S Shen, L Ning, T Zhang - Remote Sensing, 2021 - mdpi.com
Spatiotemporal fusion (STF) is considered a feasible and cost-effective way to deal with the
trade-off between the spatial and temporal resolution of satellite sensors, and to generate …

Monitoring and analysis of grassland desertification dynamics using Landsat images in Ningxia, China

J Li, X Yang, Y **, Z Yang, W Huang, L Zhao… - Remote Sensing of …, 2013 - Elsevier
State and local governments in China have implemented a series of grassland protection
policies to address the problem of grassland degradation. In 2003, Ningxia was the first …

Tracking land use/land cover dynamics in cloud prone areas using moderate resolution satellite data: A case study in Central Africa

B Basnet, A Vodacek - Remote Sensing, 2015 - mdpi.com
Tracking land surface dynamics over cloud prone areas with complex mountainous terrain is
an important challenge facing the Earth Science community. One such region is the Lake …

Pan-sharpening via intrinsic decomposition knowledge distillation

J Wang, Q Zhou, X Huang, R Zhang, X Chen, T Lu - Pattern Recognition, 2024 - Elsevier
Existing deep-learning-based pan-sharpening strategies mainly involve the fusion of
panchromatic and multispectral (MS) information at both the pixel and feature levels. In this …

Historical grassland desertification changes in the Horqin Sandy Land, Northern China (1985–2013)

J Li, B Xu, X Yang, Z Qin, L Zhao, Y **, F Zhao… - Scientific Reports, 2017 - nature.com
Since rural reforms in the 1980s, both the state and local governments of China have
devoted great efforts to combating desertification through a number of eco-environmental …