A review of regional and Global scale Land Use/Land Cover (LULC) map** products generated from satellite remote sensing

Y Wang, Y Sun, X Cao, Y Wang, W Zhang… - ISPRS Journal of …, 2023 - Elsevier
Abstract Land Use and Land Cover (LULC) map** products are essential for various
environmental studies, including ecological environmental assessments, resource …

[HTML][HTML] Need and vision for global medium-resolution Landsat and Sentinel-2 data products

VC Radeloff, DP Roy, MA Wulder, M Anderson… - Remote Sensing of …, 2024 - Elsevier
Global changes in climate and land use are threatening natural ecosystems, biodiversity,
and the ecosystem services people rely on. This is why it is necessary to track and monitor …

Multi-scenario simulation and ecological risk analysis of land use based on the PLUS model: A case study of Nan**g

L Gao, F Tao, R Liu, Z Wang, H Leng, T Zhou - Sustainable Cities and …, 2022 - Elsevier
With the expansion of economic activities in cities, the function of the urban system is
complex and the ecological environment is destructed gradually. Urban planning is one of …

Global land use/land cover with Sentinel 2 and deep learning

K Karra, C Kontgis, Z Statman-Weil… - … and remote sensing …, 2021 - ieeexplore.ieee.org
Land use/land cover (LULC) maps are foundational geospatial data products needed by
analysts and decision makers across governments, civil society, industry, and finance to …

[HTML][HTML] Global 10 m land use land cover datasets: A comparison of dynamic world, world cover and esri land cover

ZS Venter, DN Barton, T Chakraborty, T Simensen… - Remote Sensing, 2022 - mdpi.com
The European Space Agency's Sentinel satellites have laid the foundation for global land
use land cover (LULC) map** with unprecedented detail at 10 m resolution. We present a …

[HTML][HTML] Demystifying normalized difference vegetation index (NDVI) for greenness exposure assessments and policy interventions in urban greening

A De La Iglesia Martinez, SM Labib - Environmental Research, 2023 - Elsevier
Most nature and health research use the normalized difference vegetation index (NDVI) for
measuring greenness exposure. However, little is known about what NDVI measures in …

[KNJIGA][B] Spatial data science: With applications in R

E Pebesma, R Bivand - 2023 - taylorfrancis.com
Spatial Data Science introduces fundamental aspects of spatial data that every data scientist
should know before they start working with spatial data. These aspects include how …

A framework for multi-sensor satellite data to evaluate crop production losses: the case study of 2022 Pakistan floods

FM Qamer, S Abbas, B Ahmad, A Hussain, A Salman… - Scientific Reports, 2023 - nature.com
In August 2022, one of the most severe floods in the history of Pakistan was triggered due to
the exceptionally high monsoon rainfall. It has affected~ 33 million people across the …

Wetland map** in East Asia by two-stage object-based Random Forest and hierarchical decision tree algorithms on Sentinel-1/2 images

M Wang, D Mao, Y Wang, X **ao, H **ang… - Remote Sensing of …, 2023 - Elsevier
Accurate information on wetland extent in East Asia is essential to assess progress towards
Sustainable Development Goals (SDGs) and the use of wetland resources, where wetlands …

CROMA: Remote sensing representations with contrastive radar-optical masked autoencoders

A Fuller, K Millard, J Green - Advances in Neural …, 2023 - proceedings.neurips.cc
A vital and rapidly growing application, remote sensing offers vast yet sparsely labeled,
spatially aligned multimodal data; this makes self-supervised learning algorithms invaluable …