Results 41 to 50 of about 4,305 (184)

GEE-Levenberg-Marquardt-Method

, 2022
this method allows you to fit nonlinear model by Levenberg–Marquardt algorithms on the Google Earth Engine ...
shujian wang (12398887)
core   +1 more source

Sustainable Fashion and Environmental, Social and Governance in India's Textile Industry: Pathways Towards Climate Resilience

Diversity &Inclusion Research, Volume 3, Issue 3, July 2026.
ABSTRACT The global textile and fashion industry has emerged as both a cornerstone of economic growth and one of the most environmentally taxing sectors. With its water‐intensive cotton cultivation, synthetic fiber dependency, and massive post‐consumer waste, the industry contributes significantly to global carbon emissions and climate change. In India,
Rimli Risha Pathak, Bandana Chowdhury, Jayashree Chowdhury, Madhushree Das   +3 more
wiley   +1 more source

Assessment of Bleaching Stress Vulnerability of Lakshadweep Islands using Google Earth Engine (GEE)

Journal of Geomatics
Coral reefs, among the Earth’s most diverse and valuable ecosystems, face unprecedented challenges due to climate change. Coral bleaching is a phenomenon wherein corals lose their symbiotic zooxanthellae owing to various stressors, leading to a whitening effect of the coral tissues.
Divya Mhalaskar, null Nandini Ray Chaudhury, null Chandra Mohan Bhatt   +2 more
openaire   +1 more source

Pemanfaatan google earth engine untuk pemantauan lahan agroforestri dalam skema perhutanan sosial

, 2022
Abstrak. Strategi pengelolaan hutan secara agroforestri dalam skema Perhutanan Sosial (PS)  perlu dipantau menggunakan  teknologi penginderaan jauh. Teknologi analisis citra penginderaan jauh dan teknologi informasi saat ini telah berkembang ke dalam ...
Kaskoyo, Hari, Setiawan, Agus, Darmawan, Arief, Rizaldi, Ahmad   +3 more
core   +1 more source

A Harmonized Landsat–Sentinel‐2 Burned‐Area Product for the Pantanal (2014–2024), Based on Multitemporal Composites

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
This work presents AQM‐HLS, a harmonized burned‐area dataset for the Pantanal covering 2014–2024. Landsat‐8/9 and Sentinel‐2 imagery were integrated into multitemporal NBR composites and classified using Random Forest. The dataset captures fire‐scar dynamics, delivering accurate 30‐m burned‐area maps suitable for long‐term monitoring and environmental ...
Liz B. C. Belém, Allan A. Pereira, Fabiano Morelli, Renata Libonati   +3 more
wiley   +1 more source

Progress of nighttime light applications within the google earth engine cloud platform

, 2022
Nighttime Light (NTL) data provides a measure of socio-economic development and is publicly available on the Google Earth Engine (GEE) cloud-based platform. The use of GEE to analyze NTL has expanded, but the trends remain unknown.
Zandile Mncube, Sifiso Xulu
core   +1 more source

Impact of Urban Environmental Indices on Surface Temperature in Dhaka: A Policy‐Oriented Perspective

Climate Resilience and Sustainability, Volume 5, Issue 1, June 2026.
ABSTRACT Dhaka's rapid urban expansion has intensified surface heating and degraded environmental quality. This study analyzes environmental indices from 2015 to 2025, revealing a strong positive relationship between built‐up growth and land surface temperature, and negative associations with vegetation and water presence.
Milon Bokshi, Md. Jakir Hossain, Md. Munir Mahmud   +2 more
wiley   +1 more source

Pemetaan Daerah Rawan Ancaman Banjir di Area Kabupaten Kampar Dengan Menggunakan GEE (Google Earth Engine)

JURNAL SAINTIS
[ID] Kabupaten Kampar merupakan salah satu wilayah yang sering mengalami banjir, yang diakibatkan meluapnya sungai Kampar. Sepanjang tahun 2011 – 2017 tercatat paling sedikit telah terjadi bencana banjir 1 (satu) kali dalam setahun. Untuk meminimalisir dampak kejadian banjir, maka perlu dilakukan mempelajari karakteristik curah hujan secara temporal ...
Pratama, Deni, Sutikno, Sigit, Yusa, Muhamad   +2 more
openaire   +2 more sources

Applications of Remote Sensing in various research domains using Google Earth Engine (GEE) - Module1

, 2021
Creating an account in Google Earth Engine and False-color composite (FCC) formation using Landsat-8.
openaire   +2 more sources

Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change

Ecology and Evolution, Volume 16, Issue 6, June 2026.
We integrated ecological niche modeling (MaxEnt) with a remote sensing–driven machine‐learning productivity model (BRT), using 3139 Chinese fir occurrences, MODIS‐derived NPP, and 37 climate–soil predictors to project future suitability and productivity under a 13‐GCM CMIP6 ensemble (SSP245/SSP585).
Jiejie Sun, Xiao He, Tongli Wang, Qian Wang, Boran Liu, Jing Qian, Dawei Luo, Hui Xia, Xuan Xu, Xiangdong Lei, Jiaen Zhang, Weifeng Wang, Ming Xu   +12 more
wiley   +1 more source