EARTH OBSERVATION RETRIEVAL AND CLASSIFICATION ALGORITHMS FOR AGRICULTURE

被引：1

作者：

Mattia, Francesco ^{[1
,2
]}

Balenzano, Anna ^{[1
,2
]}

Satalino, Giuseppe ^{[1
,2
]}

Lovergine, Francesco ^{[1
,2
]}

Palmisano, Davide ^{[1
,2
]}

Nutini, Francesco ^{[1
,2
]}

Boschetti, Mirco ^{[1
,2
]}

Verza, Giorgia ^{[1
,2
]}

Rinaldi, Michele ^{[1
,3
,4
,5
]}

Ruggieri, Sergio ^{[3
,4
,5
]}

Pio De Santis, Angelo ^{[3
,4
,5
]}

Ciavarella, Francesco ^{[3
,4
,5
]}

Paredes Gomez, Vanessa ^{[6
]}

Nafria Garcia, David Alfonso ^{[6
]}

Tapete, Deodato ^{[7
]}

机构：

[1] Natl Res Council Italy CNR, Inst Electromagnet Sensing Environm IREA, Bari, Italy

[2] Natl Res Council Italy CNR, Inst Electromagnet Sensing Environm IREA, Milan, Italy

[3] Council Agr Res & Econ CREA, Ctr Cereal & Ind Crops CI, Foggia, Italy

[4] Council Agr Res & Econ CREA, Ctr Cereal & Ind Crops CI, Bari, Italy

[5] Council Agr Res & Econ CREA, Ctr Agr & Environm, Bari, Italy

[6] Inst Tecnol Agr Castilla & Leon ITACyL, Leon, Spain

[7] Italian Space Agcy ASI, Rome, Italy

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

SAR; SAOCOM; Sentinel-1; change detection; soil moisture retrieval; vegetation water content; irrigation; tillage; agriculture;

D O I：

10.1109/IGARSS52108.2023.10283294

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The objective of this paper was to assess the use of multi-frequency SAR data for the mapping and monitoring of the spatial and temporal variability of land surface parameters and agricultural practices. In particular, the focus was on the retrieval of surface soil moisture (SSM) and vegetation water content (VWC) and on the classification and monitoring of irrigation extent and tillage practices at high resolution. The paper illustrates the data basis collected over three European sites, namely Apulian Tavoliere (Southern Italy), Jolanda di Savoia (Northern Italy), and Castilla y Leon (Spain), and the main results.

引用

页码：1428 / 1431

页数：4

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