Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects
Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …
management, environmental modelling and assessment, and agricultural production …
Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review
Several machine-learning algorithms have been proposed for remote sensing image
classification during the past two decades. Among these machine learning algorithms …
classification during the past two decades. Among these machine learning algorithms …
Implementation of machine-learning classification in remote sensing: An applied review
Machine learning offers the potential for effective and efficient classification of remotely
sensed imagery. The strengths of machine learning include the capacity to handle data of …
sensed imagery. The strengths of machine learning include the capacity to handle data of …
[HTML][HTML] Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks
During the last two decades, forest monitoring and inventory systems have moved from field
surveys to remote sensing-based methods. These methods tend to focus on economically …
surveys to remote sensing-based methods. These methods tend to focus on economically …
PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis
Peatlands play important ecological, economic and cultural roles in human well-being.
Although considered sensitive to climate change and anthropogenic pressures, the spatial …
Although considered sensitive to climate change and anthropogenic pressures, the spatial …
A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future …
Classification of remotely sensed imagery for land-cover map** purposes has attracted
significant attention from researchers and practitioners. Numerous studies conducted over …
significant attention from researchers and practitioners. Numerous studies conducted over …
Distribution of ecological restoration projects associated with land use and land cover change in China and their ecological impacts
China is prone to broad land degradation and thus has been implementing ecological
restoration projects (ERPs) since the reform and opening up. The extent of ERPs, as well as …
restoration projects (ERPs) since the reform and opening up. The extent of ERPs, as well as …
[HTML][HTML] Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites
AS Belward, JO Skøien - ISPRS Journal of Photogrammetry and Remote …, 2015 - Elsevier
This paper presents a compendium of satellites under civilian and/or commercial control
with the potential to gather global land-cover observations. From this we show that a …
with the potential to gather global land-cover observations. From this we show that a …
Automated production of a land cover/use map of Europe based on Sentinel-2 imagery
Up-to-date information about the Earth's surface provided by land cover maps is essential for
numerous environmental and land management applications. There is, therefore, a clear …
numerous environmental and land management applications. There is, therefore, a clear …
Comparing deep neural networks, ensemble classifiers, and support vector machine algorithms for object-based urban land use/land cover classification
With the advent of high-spatial resolution (HSR) satellite imagery, urban land use/land cover
(LULC) map** has become one of the most popular applications in remote sensing. Due …
(LULC) map** has become one of the most popular applications in remote sensing. Due …