[HTML][HTML] Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends
Light detection and ranging (lidar) data acquired from airborne or spaceborne platforms
have revolutionized measurement and map** of forest attributes. Airborne data are often …
have revolutionized measurement and map** of forest attributes. Airborne data are often …
A systematic review of landsat data for change detection applications: 50 years of monitoring the earth
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 …
systematic monitoring of the Earth's surface, enabled by an extensive and free …
Current status of Landsat program, science, and applications
Formal planning and development of what became the first Landsat satellite commenced
over 50 years ago in 1967. Now, having collected earth observation data for well over four …
over 50 years ago in 1967. Now, having collected earth observation data for well over four …
Remote sensing in forestry: current challenges, considerations and directions
Remote sensing has developed into an omnipresent technology in the scientific field of
forestry and is also increasingly used in an operational fashion. However, the pace and level …
forestry and is also increasingly used in an operational fashion. However, the pace and level …
[HTML][HTML] Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover map**
Many applications that target dynamic land surface processes require a temporal
observation frequency that is not easily satisfied using data from a single optical sensor …
observation frequency that is not easily satisfied using data from a single optical sensor …
Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications
Z Zhu - ISPRS Journal of Photogrammetry and Remote …, 2017 - Elsevier
The free and open access to all archived Landsat images in 2008 has completely changed
the way of using Landsat data. Many novel change detection algorithms based on Landsat …
the way of using Landsat data. Many novel change detection algorithms based on Landsat …
[HTML][HTML] Measuring and evaluating SDG indicators with Big Earth Data
Abstract The United Nations 2030 Agenda for Sustainable Development provides an
important framework for economic, social, and environmental action. A comprehensive …
important framework for economic, social, and environmental action. A comprehensive …
[HTML][HTML] Optical remotely sensed time series data for land cover classification: A review
Accurate land cover information is required for science, monitoring, and reporting. Land
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
cover changes naturally over time, as well as a result of anthropogenic activities. Monitoring …
[HTML][HTML] Land cover classification in an era of big and open data: Optimizing localized implementation and training data selection to improve map** outcomes
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 …
and reporting programs as well as providing core information to support science activities …
GISD30: Global 30-m impervious surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform
Accurately map** impervious surface dynamics has great scientific significance and
application value for urban sustainable development research, anthropogenic carbon …
application value for urban sustainable development research, anthropogenic carbon …