Developing an early warning land degradation indicator based on geostatistical analysis of Ecosystem Functional Types dynamics
Identifying and quantifying ecosystem degradation and recovery is of critical importance for ecosystem health, biodiversity, food security and the livelihoods of local communities. Remote sensing datasets and techniques, particularly land cover maps, provide crucial data for capturing spatial and te...
Saved in:
| Main Authors: | Cristina Domingo-Marimon, Małgorzata Jenerowicz-Sanikowska, Lluís Pesquer, Marek Ruciński, Michał Krupiński, Edyta Woźniak, Anna Foks-Ryznar, Mohammad Abdul Quader |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X2401272X |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Geostatistics and artificial intelligence coupling: advanced machine learning neural network regressor for experimental variogram modelling using Bayesian optimization
by: Saâd Soulaimani, et al.
Published: (2024-12-01) -
Modeling of zonal anisotropic variograms
by: Lina Budrikaitė
Published: (2005-12-01) -
An early warning system for oil wells based on improved long short-term memory network
by: Jinman Li, et al.
Published: (2025-01-01) -
A clinical warning in the treatment of chlorfenapyr poisoning
by: Yuelei Cheng, et al.
Published: (2024-12-01) -
Network security threat warning method based on qualitative differential game
by: Shirui HUANG, et al.
Published: (2018-08-01)