Meat is a source of essential amino acids that are necessary for human growth and
development, meat can come from dead, alive, Halal, or non-Halal animal species which are …

The soil dielectric constant model is essential for retrieving soil properties based on
microwave remote sensing. However, the existing saline soil dielectric constant models …

Accurate and efficient landslide identification is an important basis for landslide disaster
prevention and control. Due to the diversity of landslide features, vegetation occlusion, and …

The landslide susceptibility assessment is an essential part of landslide disaster risk
identification and prevention. However, the binarization of the hidden layer limits the …

Classifying land use and land cover (LULC) is essential for various environmental
monitoring and geospatial analysis applications. This research focuses on land …

Coastal aquaculture has made an important contribution to global food security and the
economic development of coastal zones in recent decades. However, it has also damaged …

Although deep neural networks have made significant progress in tasks related to remote
sensing image scene classification, most of these tasks assume that the training and test …

In classical machine learning algorithms, used in many analysis tasks, the data are
centralized for training. That is, both the model and the data are housed within one device …

The images of the Sentinel-2 constellation can help the verification process of farmers'
declarations, providing, among other things, accurate spatial explicit maps of the agricultural …

The integration of multi-source remote sensing data, bolstered by advancements in deep
learning, has emerged as a pivotal strategy for enhancing land use and land cover (LULC) …