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Data · dataset · 2023

Aerial Peruvian Andes Campaign (ALPACA) Dataset 2019

Listed in RADAR and RADAR4Memory — shown once because both records carry DOI 10.35097/1211

The Aerial Peruvian Andes Campaign (ALPACA) dataset was acquired during a measurement campaign of the Institute of Photogrammetry and Remote Sensing (IPF) and the Institute of Water and River Basin Management - Hydrology (IWG) of the Karlsruhe Institute of Technology (KIT).

Description

The measurement campaign was conducted in Peru, in the catchment area of the river Lurín near Lima, in April 2019. Areas in five different locations between 2700 m and 3700 m above mean sea level are included.

The ALPACA dataset consists of hyperspectral data in the range of 900 nm to 2500 nm and soil moisture point data in the range of 4 % to 89 %. The hyperspectral data was acquired with a Headwall Hyperspec SWIR sensor, which was mounted on DJI Matrice 600 Pro an Unmanned Aerial Vehicle. About 27 600 square meters of hyperspectral data were acquired with a pixel edge length of about 3 cm.

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A detailed description of the data acquisition can be found in [1]. The soil moisture data was measured with a handheld ThetaProbe sensor. As a result, 236 soil moisture values are provided.

The point measurements were performed in a grid of various distances between 5 m and 15 m. The processing of the dataset is described in [1] and published in [2]. Acknowledgment: The ALPACA dataset is published as part of the Trust project, which is funded by the German Federal Ministry of Education and Research (BMBF).

We thank Philipp Wagner and Julian Bocanegra for their help during the measurement campaign. Further, we thank Stefan Hinz and Erwin Zehe. **References:** [1] Felix M. Riese. "Development and Applications of Machine Learning Methods for Hyperspectral Data." Ph.D. Thesis. Karlsruhe Institute of Technology, Karlsruhe, Germany. 2020.

[2] Felix M. Riese. "Processing Scripts for the ALPACA Dataset." Zenodo. 2020.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Satellite remote sensing 65%
Provenance · 2 source records, 8 field assertions
SourceKeyLast seenRaw
RADAR10.35097/121112 d agoJSON v1
RADAR4Memory10.35097/121112 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[field].local:field:earth-environmentalmapping · radar4memory radar service euconnector:radar4memory_radar_service_eu@1.0.0
concepts[field].local:field:earth-environmentalmapping · radar service eu deconnector:radar_service_eu_de@1.0.0
concepts[modality].local:modality:remote-sensingenrichment · radar service eu dekeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · radar service eu deconnector:radar_service_eu_de@1.0.0/metadata/dc/description
licensesource · radar service eu deconnector:radar_service_eu_de@1.0.0/metadata/dc/rights
publication_datesource · radar service eu deconnector:radar_service_eu_de@1.0.0
titlesource · radar service eu deconnector:radar_service_eu_de@1.0.0/metadata/dc/title