[HTML][HTML] An overview of the applications of earth observation satellite data: impacts and future trends

Q Zhao, L Yu, Z Du, D Peng, P Hao, Y Zhang, P Gong - Remote Sensing, 2022 - mdpi.com
As satellite observation technology develops and the number of Earth observation (EO)
satellites increases, satellite observations have become essential to developments in the …

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

JE Ball, DT Anderson, CS Chan - Journal of applied remote …, 2017 - spiedigitallibrary.org
In recent years, deep learning (DL), a rebranding of neural networks (NNs), has risen to the
top in numerous areas, namely computer vision (CV), speech recognition, and natural …

[HTML][HTML] Land cover classification using Google Earth Engine and random forest classifier—The role of image composition

TN Phan, V Kuch, LW Lehnert - Remote Sensing, 2020 - mdpi.com
Land cover information plays a vital role in many aspects of life, from scientific and economic
to political. Accurate information about land cover affects the accuracy of all subsequent …

A comprehensive overview of technologies for species and habitat monitoring and conservation

JJ Lahoz-Monfort, MJL Magrath - BioScience, 2021 - academic.oup.com
The range of technologies currently used in biodiversity conservation is staggering, with
innovative uses often adopted from other disciplines and being trialed in the field. We …

Terrestrial animal tracking as an eye on life and planet

R Kays, MC Crofoot, W Jetz, M Wikelski - Science, 2015 - science.org
BACKGROUND The movement of animals makes them fascinating but difficult study
subjects. Animal movements underpin many biological phenomena, and understanding …

Aquaculture: relevance, distribution, impacts and spatial assessments–a review

M Ottinger, K Clauss, C Kuenzer - Ocean & Coastal Management, 2016 - Elsevier
Aquaculture is the fastest-growing animal food production sector worldwide and is becoming
the main source of aquatic animal food in human consumption. Depletion of wild fishery …

Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model

J Brajard, A Carrassi, M Bocquet, L Bertino - Journal of computational …, 2020 - Elsevier
A novel method, based on the combination of data assimilation and machine learning is
introduced. The new hybrid approach is designed for a two-fold scope:(i) emulating hidden …

[HTML][HTML] Optimal input features for tree species classification in Central Europe based on multi-temporal Sentinel-2 data

M Immitzer, M Neuwirth, S Böck, H Brenner, F Vuolo… - Remote Sensing, 2019 - mdpi.com
Detailed knowledge about tree species composition is of great importance for forest
management. The two identical European Space Agency (ESA) Sentinel-2 (S2) satellites …

Emerging technologies to conserve biodiversity

SL Pimm, S Alibhai, R Bergl, A Dehgan, C Giri… - Trends in ecology & …, 2015 - cell.com
Technologies to identify individual animals, follow their movements, identify and locate
animal and plant species, and assess the status of their habitats remotely have become …

Building an earth observations data cube: lessons learned from the swiss data cube (sdc) on generating analysis ready data (ard)

G Giuliani, B Chatenoux, A De Bono, D Rodila… - Big Earth …, 2017 - Taylor & Francis
Pressures on natural resources are increasing and a number of challenges need to be
overcome to meet the needs of a growing population in a period of environmental variability …