Remote Sensing, 2015 For identification of forested landslides, most studies focus on knowledge-based and pixel-based analysis (PBA) of LiDar data, while few studies have examined (semi-) automated methods and object-based image analysis (OBIA).
Xianju Li +4 more
doaj +1 more source
Classification of urban areas from GeoEye-1 imagery through texture features based on Histograms of Equivalent Patterns [PDF]
, 2016 A family of 26 non-parametric texture descriptors based on Histograms of Equivalent Patterns (HEP) has been tested, many of them for the first time in remote sensing applications, to improve urban classification through object-based image analysis of ...
Aguilar, Fernando J. +4 more
core +2 more sources
An OBIA for fine-scale land cover spatial analysis over broad territories: demonstration through riparian corridor and artificial sprawl studies in France [PDF]
, 2012 International audienceSpatial analysis using fine-scale information over broad territories is essential to define efficient restoration strategies from local to national scale.
Barbe, E. +4 more
core +1 more source
Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data: A case study from Almería (Spain) [PDF]
, 2016 tThis paper shows the first comparison between data from Sentinel-2 (S2) Multi Spectral Instrument (MSI)and Landsat 8 (L8) Operational Land Imager (OLI) headed up to greenhouse detection.
Aguilar, Fernando J. +4 more
core +2 more sources
Seabed mapping in coastal shallow waters using high resolution multispectral and hyperspectral imagery [PDF]
, 2018 Coastal ecosystems experience multiple anthropogenic and climate change pressures. To monitor the variability of the benthic habitats in shallow waters, the implementation of effective strategies is required to support coastal planning.
Eugenio, Francisco +3 more
core +2 more sources
Synergies for Improving Oil Palm Production and Forest Conservation in Floodplain Landscapes [PDF]
, 2014 Lowland tropical forests are increasingly threatened with conversion to oil palm as global demand and high profit drives crop expansion throughout the world’s tropical regions.
Andrew T. Knight +46 more
core +5 more sources
Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data
Remote Sensing, 2015 Cropland mapping via remote sensing can provide crucial information for agri-ecological studies. Time series of remote sensing imagery is particularly useful for agricultural land classification.
Qingting Li +3 more
doaj +1 more source
Spatial assessment of intertidal seagrass meadows using optical imaging systems and a lightweight drone [PDF]
, 2017 Seagrass ecosystems are highly sensitive to environmental change. They are also in global decline and under threat from a variety of anthropogenic factors.
Anderson, K +4 more
core +1 more source
Remote SensingThe accurate estimation of tree canopy volume is fundamental in precision agriculture for quantifying vegetation structure, biomass, and productivity in perennial cropping systems.
Raffaella Brigante +7 more
doaj +1 more source
Rapid Invasion of Spartina Alterniflora in the Coastal Zone of Mainland China: Spatiotemporal Patterns and Human Prevention [PDF]
, 2019 Given the extensive spread and ecological consequences of exotic Spartina alterniflora (S. alterniflora) over the coast of mainland China, monitoring its spatiotemporal invasion patterns is important for the sake of coastal ecosystem management and ...
Jia, Mingming +6 more
core +1 more source