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 …
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
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 …
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
(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 …
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
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 …
Earth Science community. Although most past and current analyses focus on detecting …