Harmonised LUCAS in-situ land cover and use database for field surveys from 2006 to 2018 in the European Union

R d'Andrimont, M Yordanov, L Martinez-Sanchez… - Scientific data, 2020 - nature.com
Accurately characterizing land surface changes with Earth Observation requires geo-located
ground truth. In the European Union (EU), a tri-annual surveyed sample of land cover and …

Landsat analysis ready data for global land cover and land cover change mapping

P Potapov, MC Hansen, I Kommareddy… - Remote Sensing, 2020 - mdpi.com
The multi-decadal Landsat data record is a unique tool for global land cover and land use
change analysis. However, the large volume of the Landsat image archive and inconsistent …

Updating the 2001 National Land Cover Database impervious surface products to 2006 using Landsat imagery change detection methods

G Xian, C Homer - Remote sensing of environment, 2010 - Elsevier
A prototype method was developed to update the US Geological Survey (USGS) National
Land Cover Database (NLCD) 2001 to a nominal date of 2006. NLCD 2001 is widely used …

Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine …

AJ Oliphant, PS Thenkabail, P Teluguntla… - International Journal of …, 2019 - Elsevier
Cropland extent maps are useful components for assessing food security. Ideally, such
products are a useful addition to countrywide agricultural statistics since they are not …

Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets

J Zhang, J Zhao, Y Wang, H Zhang, Z Zhang… - ISPRS Journal of …, 2020 - Elsevier
This paper analyzes inconsistencies in remotely sensed land surface phenology (LSP)
reported by AVHRR GIMMS3g and MODIS datasets across land cover types of the Northern …

Global 10 m land use land cover datasets: A comparison of dynamic world, world cover and esri land cover

ZS Venter, DN Barton, T Chakraborty, T Simensen… - Remote Sensing, 2022 - mdpi.com
The European Space Agency's Sentinel satellites have laid the foundation for global land
use land cover (LULC) mapping with unprecedented detail at 10 m resolution. We present a …

[PDF][PDF] Global observation of urban expansion and land-cover dynamics using satellite big-data

W Kuang, G Du, D Lu, Y Dou, X Li, S Zhang, W Chi… - Sci. Bull, 2021 - academia.edu
Humans deeply influence the urbanizing of earth's surface system in an exacerbating
manner across space and time [1]. Around the globe, urban land-use/cover changes reflect …

[PDF][PDF] geemap: A Python package for interactive mapping with Google Earth Engine

Q Wu - Journal of Open Source Software, 2020 - joss.theoj.org
Summary geemap is a Python package for interactive mapping with Google Earth Engine
(GEE), which is a cloud computing platform with a multi-petabyte catalog of satellite imagery …

Land cover changes and their driving mechanisms in Central Asia from 2001 to 2017 supported by Google Earth Engine

Y Hu, Y Hu - Remote Sensing, 2019 - mdpi.com
Limited research has been published on land changes and their driving mechanisms in
Central Asia, but this area is an important ecologically sensitive area. Supported by Google …

Long-term land cover dynamics by multi-temporal classification across the Landsat-5 record

JO Sexton, DL Urban, MJ Donohue, C Song - Remote sensing of …, 2013 - Elsevier
Supervised classification of land cover across space and time is a long-standing goal of the
Earth Science community. Although most past and current analyses focus on detecting …