Potential of ALOS2 and NDVI to estimate forest above-ground biomass, and comparison with lidar-derived estimates [PDF]
, 2016 Remote sensing supports carbon estimation, allowing the upscaling of field measurements to large extents. Lidar is considered the premier instrument to estimate above ground biomass, but data are expensive and collected on-demand, with limited spatial ...
Callegari, Mattia +7 more
core +4 more sources
Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean
European Journal of Remote Sensing, 2022 Synthetic aperture radar (SAR) is a powerful tool for sea surface monitoring. The 2017–2020 mission of the Chinese Gaofen-3 (GF-3) over the Arctic Ocean provided a unique opportunity to investigate the feasibility of wave retrieval in the Arctic Ocean ...
Wei-Zeng Shao +5 more
doaj +1 more source
A Framework for assessing in silico Toxicity Predictions: Case Studies with selected Pesticides [PDF]
, 2010 In the regulatory assessment of chemicals, the use of in silico prediction methods such as (quantitative) structure-activity relationship models ([Q]SARs), is increasingly required or encouraged, in order to increase the efficiency and effectiveness of ...
LAPENNA SILVIA +4 more
core +1 more source
Correction of Range-Variant Motion Error and Residual RCM in Sparse Regularization SAR Imaging
Sensors, 2022 Lq (0 < q ≤ 1) regularization has been confirmed effective when applied to sparse SAR imaging. However, the inaccuracies caused by motion errors in the observation model will lead to various degradations and defocus in the reconstructed image.
Jingyi Zhang, Jiacheng Ni
doaj +1 more source
Power properties if invariant tests for spatial autocorrelation in linear regression [PDF]
, 2010 This paper derives some exact power properties of tests for spatial autocorrelation in the context of a linear regression model. In particular, we characterize the circumstances in which the power vanishes as the autocorrelation increases, thus extending
Anderson +21 more
core +6 more sources
FLOOD DETECTION IN NORWAY BASED ON SENTINEL-1 SAR IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 After large flood incidents in Norway, The Norwegian Water Resources and Energy Directorate (NVE), has the responsibility for documenting the flooded areas.
J. H. Reksten, A.-B. Salberg, R. Solberg
doaj +1 more source
Three-Dimensional Sparse SAR Imaging with Generalized Lq Regularization
Remote Sensing, 2022 Three-dimensional (3D) synthetic aperture radar (SAR) imaging provides complete 3D spatial information, which has been used in environmental monitoring in recent years.
Yangyang Wang +4 more
doaj +1 more source
Characterizations of Matrix and Compact Operators on BK Spaces
Universal Journal of Mathematics and Applications, 2023 In the present paper, by estimating operator norms, we give some characterizations of infinite matrix classes $\left( \left\vert E_{\mu }^{r}\right\vert _{q},\Lambda\right) $ and $\left( \left\vert E_{\mu }^{r}\right\vert _{\infty },\Lambda\right ...
Fadime Gökçe
doaj +1 more source
Review of Software Tools for Toxicity Prediction [PDF]
, 2010 When assessing the properties of chemicals, the easiest and most consistent way of applying (Quantitative) Structure-Activity Relationship ([Q]SAR) models is to use ready-made software that implements the models via a user-friendly interface.
FUART GATNIK Mojca, WORTH Andrew
core +1 more source
(Q)SAR modelling of nanomaterial toxicity: A critical review [PDF]
Particuology, 2015 There is an increasing recognition that nanomaterials pose a risk to human health, and that the novel engineered nanomaterials (ENMs) in the nanotechnology industry and their increasing industrial usage poses the most immediate problem for hazard assessment, as many of them remain untested.
Oksel, C +4 more
openaire +2 more sources