نتایج جستجو برای: sentinel 2 red edge position s2rep
تعداد نتایج: 2916739 فیلتر نتایج به سال:
The present research aims at verifying whether there are significant differences between Land Use/Land Cover (LULC) classifications performed using Landsat 8 Operational Imager (OLI) and Sentinel-2 Multispectral Instrument (MSI) data—abbreviated as L8 S2. To comprehend the degree of accuracy these classifications, both S2 scenes covering study area located in Basilicata region (Italy) acquired ...
Abstract. Investigation of the focal plane assembly Sentinel-2 satellites show slight delays in acquisition time different bands on CCD lines about 0.5 to 1 second. This effect was already exploited detection moving objects very high resolution imagery as from WorldView-2 or -3 and also for imagery. In our study we use four 10-m-bands 2, 3, 4 8 (blue, green, red near infrared) Sentinel-2. level...
Studies designed to discriminate different successional forest stages play a strategic role in forest management, forest policy and environmental conservation in tropical environments. The discrimination of different successional forest stages is still a challenge due to the spectral similarity among the concerned classes. Considering this, the objective of this paper was to investigate the per...
Leaf area index (LAI) is an important surface biophysical parameter as an input to many process-oriented ecosystem models. Remote sensing technology provides a practical way to estimate LAI at a large spatial scale, and hence, considerable effort has been expended in developing LAI estimation models from remotely sensed imagery. LAI estimation models were usually formulated using multi-spectral...
Remote sensing indices have been proposed to characterize soil salinity. However, the sensitivity of these indicators is unstable owing differences in geographic environment and vegetation type. This study investigated performance several existing estimate salinity topsoil with residues southern Xinjiang, China. The results showed that were not satisfactory. In order construct an index can be u...
The co-existence of diverse plant forms in densely vegetated savanna environments presents a challenge when mapping species diversity using single remotely sensed data type that carries either optical or structural information. In the present study, Sentinel-1 RADAR and Sentinel-2 multispectral were combined to classify morphologically similar woody (n =27) three coexisting land cover types Dee...
In this study, the capability of Landsat-8 (L8), Sentinel-2 (S2), Sentinel-1 (S1), and their combination was investigated for estimating aboveground biomass (AGB). A pure stand Fagus Orientalis located in Hyrcanian forest Iran selected as study area. The performance a parametric approach, i.e., Multiple Linear Regression (MLR) model non-parametric approaches, k-Nearest Neighbor (k-NN), Random F...
Introduction: Several radiotracers are being used for sentinel node mapping in patients with breast cancer. In the current study, we reported our experience with 99m-Tc Phytate for sentinel node mapping in Mashhad University of Medical Sciences. Methods: All breast cancer patients who underwent sentinel node mapping using 99m-Tc Phytate were included. All patients received intradermal peri-are...
Given a set S of n red and blue points in the plane, a planar bichromatic minimum spanning tree is the shortest possible spanning tree of S, such that every edge connects a red and a blue point, and no two edges intersect. Computing this tree is NP-hard in general. We present an O(n) time algorithm for the special case when all points are in convex position. For the general case, we present a f...
Precise and timely information on crop spatial distribution over large areas is paramount to agricultural monitoring, food security, policy development. Currently, automatically classifying types at a scale challenging due the scarcity of ground data. Although previous studies have indicated that transductive transfer learning (TTL) promising method address this problem, it performs poorly with...
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