Effective delineation of rare metal-bearing granites from remote sensing data using machine learning methods: A case study from the Umm Naggat Area, Central …
Albitized granite (ABG) is considered as one of the most significant hosts of rare metals
(RMs). Consequently, adequate recognition of ABG through proper lithological …
(RMs). Consequently, adequate recognition of ABG through proper lithological …
Map** of mineral resources and lithological units: A review of remote sensing techniques
R Rajan Girija, S Mayappan - … Journal of Image and Data Fusion, 2019 - Taylor & Francis
The remote sensing (RS) techniques have become a guiding and promising tool for mineral
exploration and map** of lithological units. The RS for mineral exploration begins with …
exploration and map** of lithological units. The RS for mineral exploration begins with …
[HTML][HTML] Soil organic carbon and texture retrieving and map** using proximal, airborne and Sentinel-2 spectral imaging
Abstract Soil Organic Carbon (SOC) is a useful representative of soil fertility and an essential
parameter in controlling the dynamics of various agrochemicals in soil. Soil texture is also …
parameter in controlling the dynamics of various agrochemicals in soil. Soil texture is also …
First experience with Sentinel-2 data for crop and tree species classifications in central Europe
The study presents the preliminary results of two classification exercises assessing the
capabilities of pre-operational (August 2015) Sentinel-2 (S2) data for map** crop types …
capabilities of pre-operational (August 2015) Sentinel-2 (S2) data for map** crop types …
[HTML][HTML] Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification
In this paper, we aim at tackling a general but interesting cross-modality feature learning
question in remote sensing community—can a limited amount of highly-discriminative (eg …
question in remote sensing community—can a limited amount of highly-discriminative (eg …
SENTINEL-2A red-edge spectral indices suitability for discriminating burn severity
A Fernández-Manso, O Fernández-Manso… - International journal of …, 2016 - Elsevier
Fires are a problematic and recurrent issue in Mediterranean ecosystems. Accurate
discrimination between burn severity levels is essential for the rehabilitation planning of …
discrimination between burn severity levels is essential for the rehabilitation planning of …
Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands
The short revisit time of the Sentinel-2 (S2) constellation entails a large availability of remote
sensing data, but S2 data have been rarely used to predict soil organic carbon (SOC) …
sensing data, but S2 data have been rarely used to predict soil organic carbon (SOC) …
CoSpace: Common subspace learning from hyperspectral-multispectral correspondences
With a large amount of open satellite multispectral (MS) imagery (eg, Sentinel-2 and Landsat-
8), considerable attention has been paid to global MS land cover classification. However, its …
8), considerable attention has been paid to global MS land cover classification. However, its …
Open surface water map** algorithms: A comparison of water-related spectral indices and sensors
Open surface water bodies play an important role in agricultural and industrial production,
and are susceptible to climate change and human activities. Remote sensing data has been …
and are susceptible to climate change and human activities. Remote sensing data has been …
[HTML][HTML] A methodology to estimate forest fires burned areas and burn severity degrees using Sentinel-2 data. Application to the October 2017 fires in the Iberian …
A methodology to estimate the extent of areas affected by forest fires, as well as the burn
severity levels using Sentinel 2 images (10 and 20 m) is proposed and applied to the fires …
severity levels using Sentinel 2 images (10 and 20 m) is proposed and applied to the fires …