[HTML][HTML] A systematic review of landsat data for change detection applications: 50 years of monitoring the earth

MA Hemati, M Hasanlou, M Mahdianpari… - Remote sensing, 2021 - mdpi.com
With uninterrupted space-based data collection since 1972, Landsat plays a key role in
systematic monitoring of the Earth's surface, enabled by an extensive and free …

[HTML][HTML] A review of machine learning models and influential factors for estimating evapotranspiration using remote sensing and ground-based data

S Amani, H Shafizadeh-Moghadam - Agricultural Water Management, 2023 - Elsevier
In the era of water scarcity and severe droughts, the accurate estimation of
evapotranspiration (ET) is crucial for the efficient management of water resources …

[HTML][HTML] Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve map** outcomes

T Hermosilla, MA Wulder, JC White… - Remote Sensing of …, 2022 - Elsevier
Deriving land cover from remotely sensed data is fundamental to many operational map**
and reporting programs as well as providing core information to support science activities …

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

Y Cai, K Guan, J Peng, S Wang, C Seifert… - Remote sensing of …, 2018 - Elsevier
Accurate and timely spatial classification of crop types based on remote sensing data is
important for both scientific and practical purposes. Spatially explicit crop-type information …

GWL_FCS30: global 30 m wetland map with fine classification system using multi-sourced and time-series remote sensing imagery in 2020

X Zhang, L Liu, T Zhao, X Chen, S Lin… - Earth System …, 2022 - essd.copernicus.org
Wetlands, often called the “kidneys of the earth”, play an important role in maintaining
ecological balance, conserving water resources, replenishing groundwater, and controlling …

Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future …

L Li, X Mu, H Jiang, F Chianucci, R Hu, W Song… - ISPRS Journal of …, 2023 - Elsevier
Vegetation cover fraction (fCover) and related quantities are basic yet critical vegetation
structure variables in various disciplines and applications. Ground-and aerial-based …

Land cover 2.0

MA Wulder, NC Coops, DP Roy, JC White… - … Journal of Remote …, 2018 - Taylor & Francis
Interest in knowing more about the Earth's land cover and how it has changed over time
motivated the mission and sensor design of early terrestrial remote sensing systems. Rapid …

[HTML][HTML] Forest stand species map** using the Sentinel-2 time series

E Grabska, P Hostert, D Pflugmacher, K Ostapowicz - Remote Sensing, 2019 - mdpi.com
Accurate information regarding forest tree species composition is useful for a wide range of
applications, both for forest management and scientific research. Remote sensing is an …

[HTML][HTML] Map** the presence and distribution of tree species in Canada's forested ecosystems

T Hermosilla, A Bastyr, NC Coops, JC White… - Remote Sensing of …, 2022 - Elsevier
Abstract Knowledge of tree species is required to inform management, planning, and
monitoring of forests as well as to characterize habitat and ecosystem function. Remotely …

The biodiversity of species and their rates of extinction, distribution, and protection

SL Pimm, CN Jenkins, R Abell, TM Brooks… - science, 2014 - science.org
Background A principal function of the Intergovernmental Science-Policy Platform on
Biodiversity and Ecosystem Services (IPBES) is to “perform regular and timely assessments …