Cargando…
Time-series analysis of satellite imagery for detecting vegetation cover changes in Indonesia
Indonesia has one of the world’s largest tropical forests; thus, its deforestation and environmental degradation are a global concern. This study is the first to perform comprehensive big data analyses with coherent vegetation criteria to measure the vegetation change at a high temporal resolution (...
Autores principales: | Furusawa, Takuro, Koera, Takuya, Siburian, Rikson, Wicaksono, Agung, Matsudaira, Kazunari, Ishioka, Yoshinori |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10212945/ https://www.ncbi.nlm.nih.gov/pubmed/37231076 http://dx.doi.org/10.1038/s41598-023-35330-1 |
Ejemplares similares
-
Extraction of Long Time-Series Vegetation Indices from Combined Multisource Satellite Imagery
por: Liu, Yu, et al.
Publicado: (2022) -
Retracted: Extraction of Long Time-Series Vegetation Indices from Combined Multisource Satellite Imagery
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Assessing the Impact of Wildlife on Vegetation Cover Change, Northeast Namibia, Based on MODIS Satellite Imagery (2002–2021)
por: Gbagir, Augustine-Moses Gaavwase, et al.
Publicado: (2022) -
Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery
por: Kim, So-Ra, et al.
Publicado: (2011) -
Correlation between Tumor-Infiltrating Lymphocytes and Pathological Response in Locally Advanced Breast Cancer Patients Who Received Neoadjuvant Chemotherapy in H. Adam Malik General Hospital
por: Siregar, Kamal Basri, et al.
Publicado: (2017)