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Afforestation and reforestation are popular strategies for mitigating climate change by enhancing carbon sequestration. However, the effectiveness of these efforts is often self-reported by project developers, or certified through processes…

Machine Learning · Computer Science 2025-08-18 Angela John , Selvyn Allotey , Till Koebe , Alexandra Tyukavina , Ingmar Weber

The preservation of the Amazon Rainforest is one of the global priorities in combating climate change, protecting biodiversity, and safeguarding indigenous cultures. The Satellite-based Monitoring Project of Deforestation in the Brazilian…

Computer Vision and Pattern Recognition · Computer Science 2025-12-10 Christian Massao Konishi , Helio Pedrini

The conservation of tropical forests is a topic of significant social and ecological relevance due to their crucial role in the global ecosystem. Unfortunately, deforestation and degradation impact millions of hectares annually,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-04 Eduardo Neto , Fabio A. Faria , Amanda A. S. de Oliveira , Álvaro L. Fazenda

Satellite foundation models produce dense embeddings whose physical interpretability remains poorly understood, limiting their integration into environmental decision systems. Using 12.1 million samples across the Continental United States…

Computation and Language · Computer Science 2026-02-12 Mashrekur Rahman

Global vegetation structure mapping is critical for understanding the global carbon cycle and maximizing the efficacy of nature-based carbon sequestration initiatives. Moreover, vegetation structure mapping can help reduce the impacts of…

Predicting river flow in places without streamflow records is challenging because basins respond differently to climate, terrain, vegetation, and soils. Traditional basin attributes describe some of these differences, but they cannot fully…

Machine Learning · Computer Science 2026-01-06 Pengfei Qu , Wenyu Ouyang , Chi Zhang , Yikai Chai , Shuolong Xu , Lei Ye , Yongri Piao , Miao Zhang , Huchuan Lu

Forest biomass is a key influence for future climate, and the world urgently needs highly scalable financing schemes, such as carbon offsetting certifications, to protect and restore forests. Current manual forest carbon stock inventory…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Gyri Reiersen , David Dao , Björn Lütjens , Konstantin Klemmer , Kenza Amara , Attila Steinegger , Ce Zhang , Xiaoxiang Zhu

Earth observation foundation models encode land surface information into dense embedding vectors, yet the geometric structure of these representations and its implications for downstream reasoning remain underexplored. We characterize the…

Computation and Language · Computer Science 2026-04-22 Mashrekur Rahman , Samuel J. Barrett , Christina Last

Monitoring changes in tree cover for rapid assessment of deforestation is considered the critical component of any climate mitigation policy for reducing carbon. Here, we map tropical tree cover and deforestation between 2015 and 2022 using…

Undocumented species represent one of the largest hurdles for conservation efforts due to the uncertainty they introduce into conservation planning. Until the distribution of earth's biodiversity is better understood, substantial conjecture…

Populations and Evolution · Quantitative Biology 2023-08-21 Sky Button , Amaël Borzée

Forest ecosystems are vital to the global carbon cycle, yet their long-term aboveground carbon (AGC) dynamics remain uncertain. Here, we integrate multi-source satellite observations with probabilistic deep learning models to reconstruct a…

The Amazon rainforests have been suffering widespread damage, both via natural and artificial means. Every minute, it is estimated that the world loses forest cover the size of 48 football fields. Deforestation in the Amazon rainforest has…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Somnath Rakshit , Soumyadeep Debnath , Dhiman Mondal

Data-driven landslide susceptibility mapping (LSM) typically relies on landslide conditioning factors (LCFs), whose availability, heterogeneity, and preprocessing-related uncertainties can constrain mapping reliability. Recently, Google…

Computer Vision and Pattern Recognition · Computer Science 2026-01-13 Yusen Cheng , Qinfeng Zhu , Lei Fan

The Amazon rain forest is a vital ecosystem that plays a crucial role in regulating the Earth's climate and providing habitat for countless species. Deforestation in the Amazon is a major concern as it has a significant impact on global…

Computer Vision and Pattern Recognition · Computer Science 2025-09-18 Nathalie Neptune , Josiane Mothe

National Forest Inventory serves as the primary source of forest information, however, maintaining these inventories requires labor-intensive on-site campaigns by forestry experts to identify and document tree species. Embeddings from deep…

Computer Vision and Pattern Recognition · Computer Science 2026-01-28 Takayuki Ishikawa , Carmelo Bonannella , Bas J. W. Lerink , Marc Rußwurm

Unprecedented volumes of Earth observation data are continually collected around the world, but high-quality labels remain scarce given the effort required to make physical measurements and observations. This has led to considerable…

Malaria, childhood acute respiratory infection, and child undernutrition together account for over two million deaths annually in children under five, with the burden concentrated in low and middle-income countries where climate variability…

Applications · Statistics 2026-05-13 Usman Nazir , I-Han Cheng , Sara Khalid

Tropical forests represent the home of many species on the planet for flora and fauna, retaining billions of tons of carbon footprint, promoting clouds and rain formation, implying a crucial role in the global ecosystem, besides…

Computer Vision and Pattern Recognition · Computer Science 2022-08-24 Guilherme A. Pimenta , Fernanda B. J. R. Dallaqua , Alvaro Fazenda , Fabio A. Faria

With its vast expanse, exceeding that of Western Europe by twice, the Amazon rainforest stands as the largest forest of the Earth, holding immense importance in global climate regulation. Yet, deforestation detection from remote sensing…

Computer Vision and Pattern Recognition · Computer Science 2023-10-10 Carla Nascimento Neves , Raul Queiroz Feitosa , Mabel X. Ortega Adarme , Gilson Antonio Giraldi

This study investigates whether the geospatial and multimodal features encoded in \textit{Earth Embeddings} can effectively guide deep learning (DL) regression models for regional surface height mapping. In particular, we focused on…

Computer Vision and Pattern Recognition · Computer Science 2026-02-20 Alireza Hamoudzadeh , Valeria Belloni , Roberta Ravanelli
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