A comprehensive review on land use/land cover (LULC) change modeling for urban development: current status and future prospects

S Gaur, R Singh - Sustainability, 2023 - mdpi.com
Land use land cover (LULC) modeling is considered as the best tool to comprehend and
unravel the dynamics of future urban expansion. The present paper provides a …

Land use and land cover mapping using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A comparison of two composition methods

V Nasiri, A Deljouei, F Moradi, SMM Sadeghi, SA Borz - Remote Sensing, 2022 - mdpi.com
Accurate and real-time land use/land cover (LULC) maps are important to provide precise
information for dynamic monitoring, planning, and management of the Earth. With the advent …

[HTML][HTML] National tree species mapping using Sentinel-1/2 time series and German National Forest Inventory data

L Blickensdörfer, K Oehmichen, D Pflugmacher… - Remote Sensing of …, 2024 - Elsevier
Spatially explicit and detailed information on tree species composition is critical for forest
management, nature conservation and the assessment of forest ecosystem services. In …

[HTML][HTML] Downscaling solar-induced chlorophyll fluorescence for field-scale cotton yield estimation by a two-step convolutional neural network

X Kang, C Huang, L Zhang, Z Zhang, X Lv - Computers and Electronics in …, 2022 - Elsevier
As the largest cotton-growing region in China, Xinjiang has contributed more than 80% of
the total national cotton production in recent years. Timely and accurate estimation of cotton …

Spatial–temporal and driving factors of land use/cover change in Mongolia from 1990 to 2021

J Hao, Q Lin, T Wu, J Chen, W Li, X Wu, G Hu, Y La - Remote Sensing, 2023 - mdpi.com
During the past several decades, desertification and land degradation have become more
and more serious in Mongolia. The drivers of land use/cover change (LUCC), such as …

Land use and land cover mapping with vhr and multi-temporal sentinel-2 imagery

S Cuypers, A Nascetti, M Vergauwen - Remote Sensing, 2023 - mdpi.com
Land Use/Land Cover (LULC) mapping is the first step in monitoring urban sprawl and its
environmental, economic and societal impacts. While satellite imagery and vegetation …

BFAST lite: a lightweight break detection method for time series analysis

D Masiliūnas, NE Tsendbazar, M Herold, J Verbesselt - Remote Sensing, 2021 - mdpi.com
BFAST Lite is a newly proposed unsupervised time series change detection algorithm that is
derived from the original BFAST (Breaks for Additive Season and Trend) algorithm, focusing …

[HTML][HTML] Continuous burned area monitoring using bi-temporal spectral index time series analysis

V Fotakidis, I Chrysafis, G Mallinis… - International Journal of …, 2023 - Elsevier
Extreme wildfires are a major agent of disturbance in present-day forest ecosystems and,
have serious impacts on society in terms of human casualties and economic losses …

[HTML][HTML] Automatic forest change detection through a bi-annual time series of satellite imagery: Toward production of an integrated land cover map

L Alonso, J Picos, J Armesto - … Journal of Applied Earth Observation and …, 2023 - Elsevier
Land cover mapping is fundamental for national and international agencies to monitor forest
resources. However, monitoring forest disturbances by direct comparison of these maps …

The 10-m cotton maps in Xinjiang, China during 2018–2021

X Kang, C Huang, JM Chen, X Lv, J Wang, T Zhong… - Scientific Data, 2023 - nature.com
Cotton maps (10 m) of Xinjiang (XJ_COTTON10), which is the largest cotton production
region of China, were produced from 2018 to 2021 through supervised classification. A two …