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  • 1
    Publication Date: 2020-10-20
    Description: Soil degradation is a major threat for European soils and therefore, the European Commission recommends intensifying research on soil monitoring to capture changes over time and space. Imaging spectroscopy is a promising technique to create spatially accurate topsoil maps based on hyperspectral remote sensing data. We tested the application of a local partial least squares regression (PLSR) to airborne HySpex and simulated satellite EnMAP (Environmental Mapping and Analysis Program) data acquired in north-eastern Germany to quantify the soil organic carbon (SOC) content. The approach consists of two steps: (i) the local PLSR uses the European LUCAS (land use/cover area frame statistical survey) Soil database to quantify the SOC content for soil samples from the study site in order to avoid the need for wet chemistry analyses, and subsequently (ii) a remote sensing model is calibrated based on the local PLSR SOC results and the corresponding image spectra. This two-step approach is compared to a traditional PLSR approach using measured SOC contents from local samples. The prediction accuracy is high for the laboratory model in the first step with R2 = 0.86 and RPD = 2.77. The HySpex airborne prediction accuracy of the traditional approach is high and slightly superior to the two-step approach (traditional: R2 = 0.78, RPD = 2.19; two-step: R2 = 0.67, RPD = 1.79). Applying the two-step approach to simulated EnMAP imagery leads to a lower but still reasonable prediction accuracy (traditional: R2 = 0.77, RPD = 2.15; two-step: R2 = 0.48, RPD = 1.41). The two-step models of both sensors were applied to all bare soils of the respective images to produce SOC maps. This local PLSR approach, based on large scale soil spectral libraries, demonstrates an alternative to SOC measurements from wet chemistry of local soil samples. It could allow for repeated inexpensive SOC mapping based on satellite remote sensing data as long as spectral measurements of a few local samples are available for model calibration.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
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  • 2
    Publication Date: 2016-11-01
    Print ISSN: 0048-9697
    Electronic ISSN: 1879-1026
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Elsevier
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  • 3
  • 4
    Publication Date: 2019-11-01
    Print ISSN: 0016-7061
    Electronic ISSN: 1872-6259
    Topics: Geosciences , Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
    Published by Elsevier
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  • 5
    Publication Date: 2022-08-17
    Description: Abstract
    Description: The dataset is composed of Hyspex (VNIR/SWIR) hyperspectral imagery acquired during airplane overflights on 01. Oktober, 2015 within the Demmin Research Area. The acquisition conditions were cloud free. The dataset includes two mosaics generated based on 9 HySpex flight lines. The dataset also includes Level 2A EnMAP-like imagery simulated using the end-to-end Simulation tool (EeteS). Additionally a soil database focussed on the soil organic carbon content (SOC) with geographic coordinates, texture and spectral information is included.
    Description: Methods
    Description: Nine flight stripes were acquired during an EnMAP GFZ/FUB flight campaign operated by the GFZ using the HySpex VNIR-1600 and HySpex SWIR 320m-e (“HySpex, Norsk Elektro Optikk,” 2015) imaging spectrometers over the DEMMIN test field on 01 October 2015 (10:07-11:01 local time). Over the nine flight stripes, three are located in the Western part of the area over the village of Borrentin and Nossendorf, and six in the Eastern part of the area over the villages of Alt-Tellin, Jarmen and Sassen covering mainly agricultural fields (figure 1). For this campaign the HySpex imaging system was mounted on the Cessna 207T aircraft of the “Freie Universität Berlin” (FUB). The HySpex hyperspectral imaging system is based on two separated push-broom hyperspectral cameras HySpex VNIR-1600 and HySpex SWIR 320m-e which cover the wavelength domain from 0.4-1.0 µm and 1.0-2.5 µm respectively, with a spectral resolution of 3.7 nm (VNIR-1600) and 6.0 nm (SWIR-320m-e). Both sensors were flown with a field of view expander which results in field of view of 33.2° for the VNIR and 26.4° for the SWIR. The position and attitude of the airplane were measured with an AEROcontrol-IId inertial measurement unit (IMU) with available data rates of 256 Hz in combination with a Novatel OEM4 - g2 GPS receiver. The HySpex sensors (VNIR, SWIR) and DGPS/IMU sensors were arranged on an active stabilization platform (SM2000 ). The entire airborne campaign was conducted at a mean altitude of 2500m which results in a mean ground sampling distance (GSD) of 1.9 m for the VNIR and 3.8 m for the SWIR. After the preprocessing of the HySpex data (georectification, sensor co-registration, atmospheric correction, mosaicking) the hyperspectral data cube consists of a total of 408/390 bands resampled to 4m pixel resolution. The overflight encompassed an area of approximately 23000 ha.
    Description: Other
    Description: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extract-ing geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal (http://www.enmap.org/?q=flights).
    Keywords: Hyperspectral Imagery ; Soil ; Landuse ; Agricultur ; agriculture 〉 agricultural method ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Spectrometers/Radiometers 〉 Hyperspectral Spectrometers/Radiometers ; EARTH SCIENCE 〉 AGRICULTURE 〉 SOILS 〉 SOIL CHEMISTRY ; EARTH SCIENCE 〉 BIOSPHERE 〉 VEGETATION ; land 〉 world 〉 Europe 〉 Western Europe ; pedosphere 〉 soil
    Type: Dataset , Dataset
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