Timely information about agricultural crops is crucial for proper agronomic planning and microwave satellite data, i.e. Synthetic Aperture Radar (SAR), have demonstrated notable capabilities in delivering such information: e.g. crop type, intra-annual cycles, and growth status monitoring. The CROP-X BIOPAR dataset was specifically collected for the aim of assessing the operability of X-band SAR satellite data in a crop monitoring scenario, focusing on the sensitivity of X-band backscatter to biophysical and agronomic features of major summer crops grown in Northern Italy. The test site is located on a flat area in southeastern portion of Lombardy region, framed within the Po river Plain and the Ticino river basin, and covers two farms located in Rosasco municipality (45.25° N, 8.58° E). Field campaigns have been conducted on 30 fields (area covered ranging from 1 to 4.5 ha) cultivated with three summer crop types: 14 for rice, 11 for maize, 5 for soybean. In situ data were collected on 14 dates, spanning over three growing seasons from 2014 to 2016 (May to September). During fieldwork, observations and measurements were collected for biophysical and agronomic parameters related to: i) agronomic practices (crop species and cultivar, sowing date, sowing scheme and density), ii) substrate (soil moisture, flooding conditions), iii) crop phenology (BBCH scale stage, context and detail photos), iv) plant morphology (plant height, number of leaves, leaf size, stem size), and v) biomass and density (biomass, plant water content, PAI). Simultaneously to in situ data, 14 SAR satellite scenes were acquired from the DLR - TerraSAR-X (TSX) sensor on the study area, including 9 HH/HV (in 2014 and 2015) and 5 VV/HH (in 2016). SAR data were X-band Stripmap dual-pol scenes, acquired under local incidence angle ?=40° (Orbit 116, beam 012). TSX data were collected in the context of three TSX scientific use proposals: LAN2412 (2014), LAN2984 (2015) and LAN3228 (2016).
CROP-X BIOPAR dataset for assessing sensitivity of X-band SAR backscatter to summer crop biophysical parameters from 2014 to 2016
Fontanelli Giacomo;Villa Paolo
2018
Abstract
Timely information about agricultural crops is crucial for proper agronomic planning and microwave satellite data, i.e. Synthetic Aperture Radar (SAR), have demonstrated notable capabilities in delivering such information: e.g. crop type, intra-annual cycles, and growth status monitoring. The CROP-X BIOPAR dataset was specifically collected for the aim of assessing the operability of X-band SAR satellite data in a crop monitoring scenario, focusing on the sensitivity of X-band backscatter to biophysical and agronomic features of major summer crops grown in Northern Italy. The test site is located on a flat area in southeastern portion of Lombardy region, framed within the Po river Plain and the Ticino river basin, and covers two farms located in Rosasco municipality (45.25° N, 8.58° E). Field campaigns have been conducted on 30 fields (area covered ranging from 1 to 4.5 ha) cultivated with three summer crop types: 14 for rice, 11 for maize, 5 for soybean. In situ data were collected on 14 dates, spanning over three growing seasons from 2014 to 2016 (May to September). During fieldwork, observations and measurements were collected for biophysical and agronomic parameters related to: i) agronomic practices (crop species and cultivar, sowing date, sowing scheme and density), ii) substrate (soil moisture, flooding conditions), iii) crop phenology (BBCH scale stage, context and detail photos), iv) plant morphology (plant height, number of leaves, leaf size, stem size), and v) biomass and density (biomass, plant water content, PAI). Simultaneously to in situ data, 14 SAR satellite scenes were acquired from the DLR - TerraSAR-X (TSX) sensor on the study area, including 9 HH/HV (in 2014 and 2015) and 5 VV/HH (in 2016). SAR data were X-band Stripmap dual-pol scenes, acquired under local incidence angle ?=40° (Orbit 116, beam 012). TSX data were collected in the context of three TSX scientific use proposals: LAN2412 (2014), LAN2984 (2015) and LAN3228 (2016).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
