Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data
The enormous increase of remote sensing data from airborne and space-borne platforms, as
well as ground measurements has directed the attention of scientists towards new and …
well as ground measurements has directed the attention of scientists towards new and …
Survey of hyperspectral earth observation applications from space in the sentinel-2 context
In the last few decades, researchers have developed a plethora of hyperspectral Earth
Observation (EO) remote sensing techniques, analysis and applications. While …
Observation (EO) remote sensing techniques, analysis and applications. While …
Soil science challenges in a new era: a transdisciplinary overview of relevant topics
J Rodrigo-Comino, M López-Vicente… - Air, Soil and Water …, 2020 - journals.sagepub.com
Transdisciplinary approaches that provide holistic views are essential to properly
understand soil processes and the importance of soil to society and will be crucial in the …
understand soil processes and the importance of soil to society and will be crucial in the …
Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector …
Mapping of patterns and spatial distribution of land-use/cover (LULC) has long been based
on remotely sensed data. In the recent past, efforts to improve the reliability of LULC maps …
on remotely sensed data. In the recent past, efforts to improve the reliability of LULC maps …
Monitoring forest structure to guide adaptive management of forest restoration: a review of remote sensing approaches
With the demand for, and scale of, ecological restoration increasing globally, effectiveness
monitoring remains a significant challenge. For forest restoration, structural complexity is a …
monitoring remains a significant challenge. For forest restoration, structural complexity is a …
Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. Earth observation (EO) …
connected to many phases of the human and physical environment. Earth observation (EO) …
Co-Orbital Sentinel 1 and 2 for LULC mapping with emphasis on wetlands in a mediterranean setting based on machine learning
This study aimed at evaluating the synergistic use of Sentinel-1 and Sentinel-2 data
combined with the Support Vector Machines (SVMs) machine learning classifier for mapping …
combined with the Support Vector Machines (SVMs) machine learning classifier for mapping …
Conventional and digital soil mapping in Iran: Past, present, and future
Demand for accurate soil information is increasing for various applications. This paper
investigates the history of soil survey in Iran, particularly more recent developments in the …
investigates the history of soil survey in Iran, particularly more recent developments in the …
Wetland conversion risk assessment of East Kolkata Wetland: A Ramsar site using random forest and support vector machine model
Abstract East Kolkata Wetland (EKW) is a Ramsar site located adjacent to the Kolkata
megacity. EKW is one of the resourceful wetland ecosystems of the world which offers a …
megacity. EKW is one of the resourceful wetland ecosystems of the world which offers a …
Global remote sensing research trends during 1991–2010: a bibliometric analysis
According to the articles related to remote sensing of SCI and SSCI databases during 1991–
2010, this study evaluated the geographical influence of authors by the new index …
2010, this study evaluated the geographical influence of authors by the new index …