Results 31 to 40 of about 23,698,312 (402)
FISHING-VESSEL DETECTION USING SYNTHETIC APERTURE RADAR (SAR) SENTINEL-1 (CASE STUDY: JAVA SEA) [PDF]
The synthetic aperture radar (SAR) instrument of Sentinel-1 is a remote sensing technology being developed to enable the detection of vessel distribution. The purpose of this research is to study fishing-vessel detection using SAR Sentinel-1 data.
Fitriani, Sarah Putri+2 more
core +2 more sources
It is challenging to map the spatial distribution of natural and planted forests based on satellite images because of the high correlation among them.
Gustavo Fluminense Carneiro+2 more
doaj +1 more source
Satellite-Based Flood Mapping through Bayesian Inference from a Sentinel-1 SAR Datacube
Spaceborne Synthetic Aperture Radar (SAR) are well-established systems for flood mapping, thanks to their high sensitivity towards water surfaces and their independence from daylight and cloud cover.
B. Bauer-Marschallinger+7 more
semanticscholar +1 more source
On 11 January 2021, an Mw 6.7 earthquake, which involved a complex rupture mechanism, occurred in Lake Hovsgol, Mongolia. This study measured the earthquake’s 3-D coseismic surface displacement fields using interferometric synthetic aperture radar (InSAR)
Taewook Kim, Hyangsun Han
doaj +1 more source
Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation [PDF]
This paper presents a despeckling method for Sentinel-1 GRD images based on the recently proposed framework "SAR2SAR": a self-supervised training strategy. Training the deep neural network on collections of Sentinel 1 GRD images leads to a despeckling algorithm that is robust to space-variant spatial correlations of speckle.
arxiv +1 more source
PARKING OCCUPANCY ESTIMATION ON SENTINEL-1 IMAGES [PDF]
Abstract. This paper presents a method to estimate the occupancy ratio of parkings from SAR satellite images. The algorithm takes as input a series of Sentinel-1 images along with a mask indicating where the parking is located and returns for each image an occupancy ratio. The method is generic and can easily be extended. We validate our results in two
S. Drouyer+2 more
openaire +4 more sources
This research aims to examine forest type distribution, based on slope and aspect maps, generated from synthetic aperture radar (SAR) data. The study is conducted over an area about 1564.9 km2 located in Khutag-Undur soum of Bulgan aimag (province ...
Nyamjargal Erdenebaatar+1 more
doaj +1 more source
ESTIMATION OF SOIL MOISTURE USING SENTINEL-1 AND SENTINEL-2 IMAGES [PDF]
Soil moisture is a vital parameter for environmental research such as agriculture, hydrology, natural resources, environmental hazards, etc. It is essential to have timely soil moisture maps prepared with high accuracy, speed, and low cost. Therefore, in
R. Esmaeili Sarteshnizi+2 more
doaj +1 more source
Outlier detection at the parcel-level in wheat and rapeseed crops using multispectral and SAR time series [PDF]
This paper studies the detection of anomalous crop development at the parcel-level based on an unsupervised outlier detection technique. The experimental validation is conducted on rapeseed and wheat parcels located in Beauce (France). The proposed methodology consists of four sequential steps: 1) preprocessing of synthetic aperture radar (SAR) and ...
arxiv +1 more source
Rice is the staple crop for more than half the world’s population, but there is a lack of high-resolution maps outlining rice areas and their growth stages.
Fatchurrachman+6 more
semanticscholar +1 more source