A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
EXPLORING THE USE OF CLASSIFICATION UNCERTAINTY TO IMPROVE CLASSIFICATION ACCURACY
2021
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Preserved Fulltext
Supervised classification of remotely sensed images has been widely used to map land cover and land use. ...
We conducted experiments in a region of Portugal (Trás-os-Montes), using multi-temporal Sentinel-2 images. ...
Value-added data processed by CNES for the Theia data centre www.theia-land.fr using Copernicus products. The processing uses algorithms developed by Theia's Scientific Expertise Centres. ...
doi:10.5194/isprs-archives-xliii-b3-2021-81-2021
fatcat:pt2o2d7kojazrpewk7xrwrvv6u
The Potential of Sentinel-2 Satellite Images for Land-Cover/Land-Use and Forest Biomass Estimation: A Review
[chapter]
2021
Forest Biomass - From Trees to Energy
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Mapping land-cover/land-use (LCLU) and estimating forest biomass using satellite images is a challenge given the diversity of sensors available and the heterogeneity of forests. ...
The Sentinel data have great potential for studies on LCLU classification and forest biomass estimates. ...
and by FCT, Portugal, Fundação para a Ciência e Tecnologia, through IDMEC, under LAETA, project UIDB/05183/2020. ...
doi:10.5772/intechopen.93363
fatcat:v4bzh7jg4vdv7lli5bn2sbezoq
Mapping Land Cover and Tree Canopy Cover in Zagros Forests of Iran: Application of Sentinel-2, Google Earth, and Field Data
2020
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
First, we assessed the accuracy of Google Earth data using 300 random field plots in 10 different land cover types. ...
In this study, we generated accurate land cover (LC), and tree canopy cover percentage (TCC%) maps for the forests of Shirvan County, a part of Zagros forests in Western Iran using Sentinel-2, Google Earth ...
Acknowledgments: This research has been supported by the Research Institute of Forests and Rangelands (RIFR). ...
doi:10.3390/rs12121912
fatcat:bt42w6yko5c3tas35jmq3drz3u
Drivers of Forest Loss in a Megadiverse Hotspot on the Pacific Coast of Colombia
2020
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
By using Google Earth Engine to select pixels with minimal cloud content and applying a random forest classifier to Landsat and Sentinel data, we produced a wall-to-wall land cover map, enabling a diagnosis ...
of the status and drivers of forest loss in the region. ...
We built optical and radar mosaics for the study area (the size of Portugal) and then performed land cover classification and validation through the implementation of a random forest algorithm [28] using ...
doi:10.3390/rs12081235
fatcat:5iw2xwgj3rhjjjpf4ysivdkvzy
Designing a Validation Protocol for Remote Sensing Based Operational Forest Masks Applications. Comparison of Products Across Europe
2020
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The spatial and temporal dynamics of the forest cover can be captured using remote sensing data. ...
The forest masks presented here are binary forest/non-forest classification maps obtained using Sentinel-2 data for 16 study areas across Europe with different forest types. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs12193159
fatcat:gyrtjfk6f5bujm45skklmwflii
Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery
2020
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The method uses a random forest classifier and existing land cover/use databases as the source of training samples. ...
To address this issue, we developed a methodology for the automated classification of multi-temporal Sentinel-2 imagery. ...
Acknowledgments: We wish to thank CREODIAS' staff for the help with using CREODIAS platform and implementing our tools. ...
doi:10.3390/rs12213523
fatcat:mpzccu67cbcnzakqqsls2d2y6y
Shrub Biomass Estimates in Former Burnt Areas Using Sentinel 2 Images Processing and Classification
2020
Forests
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Sentinel 2 VIS-NIR images are suitable to classify rural areas (overall accuracy = 79.6% and Cohen's K = 0.754) and to create normalized difference vegetation index (NDVI) images to be used in association ...
The combined use of geographical information systems (GIS) and remote sensing (RS) supported by dedicated land survey and field work for data collection has been identified as a suitable method to manage ...
Thus, it was necessary to carry out further analysis using Sentinel 2 images and an assisted classification process to classify the land cover in classes. ...
doi:10.3390/f11050555
fatcat:gppa3webbbe3zntzwzgm7x2kne
Green Infrastructure Mapping in Urban Areas Using Sentinel-1 Imagery
2021
Croatian Journal of Forest Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
High temporal resolution of synthetic aperture radar (SAR) imagery (e.g., Sentinel-1 (S1) imagery) creates new possibilities for monitoring green vegetation in urban areas and generating land-cover classification ...
Future research should address the use of multitemporal SAR data along with the pre-processing steps and ML algorithms described in this research. ...
Acknowledgements Support by the Croatian Science Foundation for the GEMINI project entitled: »Geospatial Monitoring of Green Infrastructure by Means of Terrestrial, Airborne and Satellite Imagery« (Grant ...
doi:10.5552/crojfe.2021.859
fatcat:zjlzgfnzzrcebgb4skaedut53u
Assessment of k-Nearest Neighbor and Random Forest Classifiers for Mapping Forest Fire Areas in Central Portugal Using Landsat-8, Sentinel-2, and Terra Imagery
2021
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This study analyzes the performance of the k-Nearest Neighbor (kNN) and Random Forest (RF) classifiers for the classification of an area that is affected by fires in central Portugal. ...
For that, image data from Landsat-8, Sentinel-2, and Terra satellites and the peculiarities of each of these platforms with the support of Jeffries–Matusita (JM) separability statistics were analyzed. ...
Acknowledgments: Research was supported by PAIUJA-2019/2020 and CEACTEMA from University of Jaén (Spain), and RNM-282 research group from the Junta de Andalucía (Spain). ...
doi:10.3390/rs13071345
fatcat:bucn4mdwpzew5e4xylkpi6ka6i
Automatic Extraction and Filtering of OpenStreetMap Data to Generate Training Datasets for Land Use Land Cover Classification
2020
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This paper tests an automated methodology for generating training data from OpenStreetMap (OSM) to classify Sentinel-2 imagery into Land Use/Land Cover (LULC) classes. ...
The Random Forest classifier was then trained to classify a time-series of Sentinel-2 imagery into 8 LULC classes with samples extracted from: (1) The LULC maps produced by OSM2LULC_4T (TD0); (2) the TD1 ...
Acknowledgments: The authors are grateful to the OSM contributors that added data to OSM that may be used for projects such as the one presented in this paper. ...
doi:10.3390/rs12203428
fatcat:7w56735lqvbx3fmrmexynegj5u
Detection of Tree Decline (Pinus pinaster Aiton) in European Forests Using Sentinel-2 Data
2022
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The Random Forest model relied on a pre-wilting and an in-season image, calibrated with data from a 24-month long field campaign enhanced with Worldview-3 data and the analysis of biological samples (hyperspectral ...
Independent validation results attested to the good performance of the model with an overall accuracy of 95%, particularly when decline affects more than 30% of the 100 m2 pixel of Sentinel-2. ...
Acknowledgments: We acknowledge the continuous support of all stakeholders engaged in the projects that supported the development of the study. ...
doi:10.3390/rs14092028
fatcat:rn6saj2irndhde52xrgv46lzcy
Mapping of Eucalyptus in Natura 2000 Areas Using Sentinel 2 Imagery and Artificial Neural Networks
2020
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This study uses medium resolution, multi-spectral imagery of the Sentinel 2 satellites to map Eucalyptus across Portugal and parts of Spain with a focus on Natura 2000 areas inside Portugal, that are protected ...
A qualitative assessment of Natura 2000 areas in Portugal has been performed and 15 areas have been found to be affected by Eucalyptus of which 9 are strongly affected. ...
Also we thank the association Movimento Gaio, especially Bernardo and Teresa Markowsky who helped with their knowledge as well as with providing infrastructure and transport services during the field campaign ...
doi:10.3390/rs12142176
fatcat:p5iobu2tcrafzjv3nzvflzvgvm
'The Best of Two Worlds'—Combining Classifier Fusion and Ecological Models to Map and Explain Landscape Invasion by an Alien Shrub
2021
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
By combining data from georeferenced invaded areas with multispectral imagery with 10-meter resolution from Sentinel-2 satellites, a map of areas invaded by the woody invasive Acacia longifolia in a municipality ...
Through a Random Forest (RF) model, these maps were then used to explore the factors driving the landscape-level abundance of A. longifolia. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/rs13163287
fatcat:7i3md7ztffae5jb2ddhhiqskpm
Review on Multitemporal Classification Methods of Satellite Images for Crop and Arable Land Recognition
2021
Agriculture
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This paper presents a review of the conducted research in the field of multitemporal classification methods used for the automatic identification of crops and arable land using optical satellite images ...
For very fragmented regions, better results were achieved using Sentinel-2, SPOT-5 rather than Landsat images, but the level of accuracy can still be improved. ...
Acknowledgments: The RAWGraphs application was used to create the graphs and charts.
Conflicts of Interest: The authors declare no conflicts of interest. ...
doi:10.3390/agriculture11100999
fatcat:rlqklvjd3ncbpgbduybbxja2ny
Ecosystem Services in a Protected Mountain Range of Portugal: Satellite-Based Products for State and Trend Analysis
2018
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In situ and statistical data were also used to compute final indicators of ecosystem services. ...
These services were evaluated using a set of different satellite products, namely grassland cover, soil moisture, and ecosystem functional attributes. ...
lg=2) for the pictures in Figure 6 .
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs10101573
fatcat:swwfv6ncabd6db27xvis2mmz7i
« Previous
Showing results 1 — 15 out of 199 results