Exploring TanDEM-X Interferometric Products for Crop-Type Mapping
| Autor: | Luciano Mateos, Alejandro Mestre-Quereda, Elena Navarro, Juan M. Lopez-Sanchez, Mario Busquier, María P. González-Dugo |
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| Přispěvatelé: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal, Universidad de Alicante. Instituto Universitario de Investigación Informática, Señales, Sistemas y Telecomunicación, Agencia Estatal de Investigación (España), European Commission, Ministerio de Ciencia, Innovación y Universidades (España) |
| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
Science 0211 other engineering and technologies Phase (waves) Polarimetry 02 engineering and technology 01 natural sciences Set (abstract data type) agriculture polarimetry 021101 geological & geomatics engineering 0105 earth and related environmental sciences Mathematics Remote sensing 2. Zero hunger Agriculture Coherence (statistics) interferometry Classification Interferometry classification Feature (computer vision) Teoría de la Señal y Comunicaciones General Earth and Planetary Sciences Satellite TanDEM-X SAR Communication channel |
| Zdroj: | RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) Remote Sensing; Volume 12; Issue 11; Pages: 1774 Remote Sensing, Vol 12, Iss 1774, p 1774 (2020) Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | This article belongs to the Special Issue Feature-Based Methods for Remote Sensing Image Classification. The application of satellite single-pass interferometric data to crop-type mapping is demonstrated for the first time in this work. A set of nine TanDEM-X dual-pol pairs of images acquired during its science phase, from June to August 2015, is exploited for this purpose. An agricultural site located in Sevilla (Spain), composed of fields of 13 different crop species, is employed for validation. Sets of input features formed by polarimetric and interferometric observables are tested for crop classification, including single-pass coherence and repeat-pass coherence formed by consecutive images. The backscattering coefficient at HH and VV channels and the correlation between channels form the set of polarimetric features employed as a reference set upon which the added value of interferometric coherence is evaluated. The inclusion of single-pass coherence as feature improves by 2% the overall accuracy (OA) with respect to the reference case, reaching 92%. More importantly, in single-pol configurations OA increases by 10% for the HH channel and by 8% for the VV channel, reaching 87% and 88%, respectively. Repeat-pass coherence also improves the classification performance, but with final scores slightly worse than with single-pass coherence. However, it improves the individual performance of the backscattering coefficient by 6–7%. Furthermore, in products evaluated at field level the dual-pol repeat-pass coherence features provide the same score as single-pass coherence features (overall accuracy above 94%). Consequently, the contribution of interferometry, both single-pass and repeat-pass, to crop-type mapping is proved. This work was funded by the Spanish Ministry of Science and Innovation, the State Agency of Research (AEI) and the European Funds for Regional Development (EFRD) under Project TEC2017-85244-C2-1-P, and by the European Commission, H2020 Programme, under Project MOSES (Managing crOp water Saving with Enterprise Services). |
| Databáze: | OpenAIRE |
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