Time series analysis for global land cover change monitoring: A comparison across sensors

L Xu, M Herold, NE Tsendbazar, D Masiliūnas… - Remote Sensing of …, 2022 - Elsevier
Comparing the performance of different satellite sensors in global land cover change (LCC)
monitoring is necessary to assess their potential and limitations for more accurate and …

[HTML][HTML] Enhancing the uptake of earth observation products and services in Africa through a multi-level transdisciplinary approach

C Ifejika Speranza, FO Akinyemi, D Baratoux… - Surveys in …, 2023 - Springer
Africa stands to gain from Earth Observation (EO) science, products and applications.
However, its use and application remain below potential on the continent. This article …

[HTML][HTML] Remote sensing indicators to assess riparian vegetation and river ecosystem health

G Pace, C Gutiérrez-Cánovas, R Henriques… - Ecological …, 2022 - Elsevier
Environmental managers need information to quickly detect which stressor combinations
should be addressed to reverse river degradation across large study areas. The pivotal role …

[HTML][HTML] Remotely sensed carbon content: The role of tree composition and tree diversity

CIB Wallis, AL Crofts, D Inamdar… - Remote Sensing of …, 2023 - Elsevier
Optical remote sensing permits modeling of variables related to forest biomass, which is a
critical determinant of carbon (C) stocks and fluxes. Plant functional characteristics can be …

[HTML][HTML] Supporting decision-making by companies in delivering their climate net-zero and nature recovery commitments: Synthesising current information and …

SA Scriven, EH Waddell, S Sim, H King… - Global Ecology and …, 2022 - Elsevier
Many companies are making ambitious pledges to achieve positive impacts for climate and
nature by financing restoration of carbon-and biodiversity-rich natural habitats. However …

A framework base on deep neural network (DNN) for land use land cover (LULC) and rice crop classification without using survey data

MU Rasheed, SA Mahmood - Climate Dynamics, 2023 - Springer
Precise and cost-effective mapping of crop and other land cover (LC) types is essential for
food security, precision agriculture, and water distribution management. However, accurate …

[HTML][HTML] Detecting and quantifying methane emissions from oil and gas production: algorithm development with ground-truth calibration based on Sentinel-2 satellite …

Z Zhang, ED Sherwin, DJ Varon… - Atmospheric …, 2022 - amt.copernicus.org
Sentinel-2 satellite imagery has been shown by studies to be capable of detecting and
quantifying methane emissions from oil and gas production. However, current methods lack …

[HTML][HTML] Assessing mixed-pixels effects in vineyard mapping from Satellite: A proposal for an operational solution

S De Petris, F Sarvia, F Parizia, F Ghilardi… - … and Electronics in …, 2024 - Elsevier
Satellite-based multispectral remote sensing in the wine sector is expanding, aiming at
improving vineyard management for both environmental sustainability and vine quality/yield …

Assessment of the environmental impacts of gold mining activities at Gankombol (Adamawa-Cameroon) using Leopold matrix, Fecteau grid and remote sensing …

MN Ayiwouo, S Sriram, FY Ngounouno… - Journal of African Earth …, 2023 - Elsevier
In the present study, the environmental impacts of gold mining activities at Gankombol
(Adamawa Cameroon) are assessed over four-year period. The Leopold matrix and the …

Detection and mapping of agriculture seasonal variations with deep learning–based change detection using Sentinel-2 data

G Singh, S Singh, GK Sethi, V Sood - Arabian Journal of Geosciences, 2022 - Springer
Change detection is one of the vital ways to analyse the multitemporal variations over a
specified period using remote sensing data. In recent years, deep learning (DL) algorithms …