[HTML][HTML] Satellite Earth observation to support sustainable rural development
PK Hargreaves, GR Watmough - … Journal of Applied Earth Observation and …, 2021 - Elsevier
Traditional survey and census data are not sufficient for measuring poverty and progress
towards achieving the Sustainable Development Goals (SDGs). Satellite Earth Observation …
towards achieving the Sustainable Development Goals (SDGs). Satellite Earth Observation …
Socioecologically informed use of remote sensing data to predict rural household poverty
GR Watmough, CLJ Marcinko… - Proceedings of the …, 2019 - National Acad Sciences
Tracking the progress of the Sustainable Development Goals (SDGs) and targeting
interventions requires frequent, up-to-date data on social, economic, and ecosystem …
interventions requires frequent, up-to-date data on social, economic, and ecosystem …
Spatio-temporal evolution of agricultural land use change drivers: A case study from Chalous region, Iran
Increasing global population put tremendous pressure on limited land resources and has
led to changes in land use. Changing land use patterns are of great importance in …
led to changes in land use. Changing land use patterns are of great importance in …
Integrating vegetation phenological characteristics and polarization features with object-oriented techniques for grassland type identification
B Sun, P Qin, C Li, Z Gao, A Grainger, X Li… - Geo-spatial …, 2024 - Taylor & Francis
Due to the small size, variety, and high degree of mixing of herbaceous vegetation, remote
sensing-based identification of grassland types primarily focuses on extracting major …
sensing-based identification of grassland types primarily focuses on extracting major …
Knowledge-based classification of grassland ecosystem based on multi-temporal WorldView-2 data and FAO-LCCS taxonomy
Grassland ecosystems can provide a variety of services for humans, such as carbon storage,
food production, crop pollination and pest regulation. However, grasslands are today one of …
food production, crop pollination and pest regulation. However, grasslands are today one of …
A Functional Zoning Method in Rural Landscape Based on High-Resolution Satellite Imagery
Y Zheng, Y Dian, Z Guo, C Yao, X Wu - Remote Sensing, 2023 - mdpi.com
Mapping functional zones for rural landscapes is the foundational work for rural land use
planning and plays a very important role in the economic development and resource …
planning and plays a very important role in the economic development and resource …
[PDF][PDF] Analisis dampak pembangunan infrastruktur Bandara Internasional Jawa Barat terhadap alih fungsi lahan pertanian melalui citra satelit resolusi tinggi
NM Sari, D Kushardono - Jurnal Geografi, 2019 - academia.edu
Pembangunan infrastruktur seperti bandara akan menyebabkan perubahan penggunaan
lahan pada area tersebut dan sekitarnya. Perubahan ini, terutama jika wilayah bandara …
lahan pada area tersebut dan sekitarnya. Perubahan ini, terutama jika wilayah bandara …
Land use and soil organic carbon stocks—Change detection over time using digital soil assessment: A case study from Kamyaran Region, Iran (1988–2018)
K Nabiollahi, S Shahlaee, S Zahedi… - Agronomy, 2021 - mdpi.com
Land use change and soil organic carbon stock (SOCS) depletion over time is one of the
predominant worldwide environmental problems related to global warming and the need to …
predominant worldwide environmental problems related to global warming and the need to …
Combining random forest and support vector machines for object-based rural-land-cover classification using high spatial resolution imagery
S Xu, Q Zhao, K Yin, F Zhang, D Liu… - Journal of Applied …, 2019 - spiedigitallibrary.org
Land-cover classification using remote sensing imagery is an important part of
environmental research because it provides baseline information for ecological vulnerability …
environmental research because it provides baseline information for ecological vulnerability …
Spectral Patterns of Pixels and Objects of the Forest Phytophysiognomies in the Anauá National Forest, Roraima State, Brazil
Forest phytophysiognomies have specific spatial patterns that can be mapped or translated
into spectral patterns of vegetation. Regions of spectral similarity can be classified by …
into spectral patterns of vegetation. Regions of spectral similarity can be classified by …