Results 51 to 60 of about 133,441 (345)
Interpretable Scenicness from Sentinel-2 Imagery
IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020 Landscape aesthetics, or scenicness, has been identified as an important ecosystem service that contribute to human health and well-being. Currently there are no methods to inventorize landscape scenicness on a large scale. In this paper we study how to upscale local assessments of scenicness provided by human observers, and we do so by using satellite
Levering, Alex +3 more
openaire +3 more sources
Discrimination of tropical forest types, dominant species, and mapping of functional guilds by hyperspectral and simulated multispectral Sentinel-2 data [PDF]
, 2016 To answer new scientific and ecological questions and monitor multiple forest changes, a fine scale characterization of these ecosystems is needed, and could imply the mapping of specific species, of detailed forest types, and of functional composition ...
Chen, Qi +7 more
core +1 more source
Towards a Map of the European Tree Cover based on Sentinel-2 [PDF]
, 2017 Many areas of science and policy depend on knowledge of the tree cover in Europe. Sentinel-2 is a new (launched in 2015) satellite with a higher spatial resolution compared to previous satellites. In the present study a new algorithm for mapping tree
BURGER ARMIN +12 more
core +3 more sources
Self-supervised pre-training enhances change detection in Sentinel-2 imagery [PDF]
Part of the Lecture Notes in Computer Science book series (LNCS,
volume 12667), 2021, 2021 While annotated images for change detection using satellite imagery are scarce and costly to obtain, there is a wealth of unlabeled images being generated every day. In order to leverage these data to learn an image representation more adequate for change detection, we explore methods that exploit the temporal consistency of Sentinel-2 times series to ...
arxiv
Outlier detection at the parcel-level in wheat and rapeseed crops using multispectral and SAR time series [PDF]
Remote Sens. 2021, 13(5), 956, 2020 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
Evaluation of Landsat-8 and Sentinel-2A Aerosol Optical Depth Retrievals Across Chinese Cities and Implications for Medium Spatial Resolution Urban Aerosol Monitoring [PDF]
, 2019 In urban environments, aerosol distributions may change rapidly due to building and transport infrastructure and human population density variations.
Huang, Haiyan +4 more
core +2 more sources
Comparison of Landsat-8 and Sentinel-2 Data for Estimation of Leaf Area Index in Temperate Forests
Remote Sensing, 2019 With the launch of the Sentinel-2 satellites, a European capacity has been created to ensure continuity of Landsat and SPOT observations. In contrast to previous sensors, Sentinel-2′s multispectral imager (MSI) incorporates three additional ...
Lorenz Hans Meyer +4 more
doaj +1 more source
Remote Sensing, 2022 The Sentinel-2 constellation has been providing high spatial, spectral and temporal resolution optical imagery of the continental surfaces since 2015.
Jordi Inglada +2 more
doaj +1 more source
GIScience & Remote Sensing, 2018 The availability of freely available moderate-to-high spatial resolution (10–30 m) satellite imagery received a major boost with the recent launch of the Sentinel-2 sensor by the European Space Agency.
Gerald Forkuor +3 more
doaj +1 more source
Remote Sensing, 2021 The high-resolution Sentinel-2 data potentially enable the estimation of gross primary productivity (GPP) at finer spatial resolution by better capturing the spatial variation in a heterogeneous landscapes.
Zhanzhang Cai +11 more
doaj +1 more source