An overview of remote monitoring methods in biodiversity conservation

RG Kerry, FJP Montalbo, R Das, S Patra… - … Science and Pollution …, 2022 - Springer
Conservation of biodiversity is critical for the coexistence of humans and the sustenance of
other living organisms within the ecosystem. Identification and prioritization of specific …

Application of deep learning architectures for satellite image time series prediction: A review

WR Moskolaï, W Abdou, A Dipanda, Kolyang - Remote Sensing, 2021 - mdpi.com
Satellite image time series (SITS) is a sequence of satellite images that record a given area
at several consecutive times. The aim of such sequences is to use not only spatial …

Integrating geographic knowledge into deep learning for spatiotemporal local climate zone map** derived thermal environment exploration across Chinese climate …

Q Zhu, L Ran, Y Zhang, Q Guan - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
Abstract The Local Climate Zone (LCZ) scheme representing urban structure and land use
pattern is essential for urban heat island (UHI) research. Fine-grained LCZ map** …

Recurrent-based regression of Sentinel time series for continuous vegetation monitoring

A Garioud, S Valero, S Giordano, C Mallet - Remote Sensing of …, 2021 - Elsevier
Dense time series of optical satellite imagery describing vegetation activity provide essential
information for the efficient and regular monitoring of vegetation. Nevertheless, the temporal …

EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task.

C Requena-Mesa, V Benson… - Proceedings of the …, 2021 - openaccess.thecvf.com
Satellite images are snapshots of the Earth surface. We propose to forecast them. We frame
Earth surface forecasting as the task of predicting satellite imagery conditioned on future …

A spectral-temporal constrained deep learning method for tree species map** of plantation forests using time series Sentinel-2 imagery

Z Huang, L Zhong, F Zhao, J Wu, H Tang, Z Lv… - ISPRS Journal of …, 2023 - Elsevier
Plantation forests provide critical ecosystem services and have experienced worldwide
expansion during the past few decades. Accurate map** of tree species through remote …

Is spectral pixel-to-pixel variation a reliable indicator of grassland biodiversity? A systematic assessment of the spectral variation hypothesis using spatial simulation …

A Ludwig, D Doktor, H Feilhauer - Remote Sensing of Environment, 2024 - Elsevier
Abstract Covering 30%–40% of the terrestrial surface, grasslands are important hosts of
biodiversity, crucial for nutrient cycles and carbon sequestration. However, these …

[HTML][HTML] The potential of combining satellite and airborne remote sensing data for habitat classification and monitoring in forest landscapes

A Iglseder, M Immitzer, A Dostálová, A Kasper… - International Journal of …, 2023 - Elsevier
Map** and monitoring of habitats are requirements for protecting biodiversity. In this study,
we investigated the benefit of combining airborne (laser scanning, image-based point …

A collaborative and multidisciplinary approach to knowledge-based rural development: 25 years of the PSDR program in France

A Torre, F Wallet, J Huang - Journal of Rural Studies, 2023 - Elsevier
The uneven rural development and the investigation of the place of rural areas in the
modern knowledge-based economy raise an important question. How can we foster …

Map** α-and β-diversity of mangrove forests with multispectral and hyperspectral images

D Wang, P Qiu, B Wan, Z Cao, Q Zhang - Remote Sensing of Environment, 2022 - Elsevier
Mangrove deforestation has rapidly declined by an order of magnitude compared to that
reported for the 20th century, but the remaining mangrove ecosystems are still undergoing …