PRISMA 4 AFRICA @ INTERNATIONAL WORKSHOP ON HIGH-RESOLUTION THERMAL EO

Our work was presented at the Internation Workshop on High-Resolution Thermal EO (10-12 May 2023  ESA-ESRIN) during the poster session.

COMBINED USE OF PRISMA HYPERSPECTRAL AND ECOSTRESS THERMAL DATA TO STUDY SUGARCANE: PRELIMINARY RESULTS • (ID: 200)
Presenting: Mirzaei, Saham

In the framework of the ESA’s efforts to support the EO4AFRICA community by implementing initiatives that encourage the adoption of Earth Observation products following an African user driven approach, the present consortium is working within the “EO AFRICA EXPLORERS – PRISMA 4 AFRICA” project for the combination of hyperspectral data (i.e. PRISMA) and thermal data (i.e. ECOSTRESS) as precursors of the CHIME ESA mission and the ESA LSTM and the NASA-ASI SBG-TIR missions. Based on our first interactions with African Early Adopters, sugarcane has been identified as crop of their interest for a combined use of thermal and hyperspectral EO data. As preliminary use case, we started to set up a monitoring model on a sugarcane test site located in Iran for which in situ ancillary (e.g. irrigation timing, weather stations and in situ LAI and pigments measurements) and VAL data were available. The methodology will then be exported to the African countries involved in the project. ECOSTRESS is exploited to study the plant’s water stress by utilizing L3 (ET-PT, ET-ALEXI) or L4 (e.g. WUE), while PRISMA is applied to retrieve sugarcane biophysical variables related both to structure (e.g. LAI, fPAR and FCOVER) and pigments (e.g. LCC and carotenoid contents) as well as crop stress indicators as mimic by the PRI and others ad hoc narrow bands spectral indexes. Moreover, we are investigating the possibility to apply PRISMA images to derive the ancillary information required by ECOSTRESS processing chain for ET calculation. Even though LST products are available and of good quality, the lack of such ancillary data prevents ET products to be generated. The PRISMA ancillary information (i.e., albedo and LAI) were used to configure the SEBAL Rcode input (https://rdrr.io/github/gowusu/sebkc/man/sebal.html) to derive potential and actual ET products. Tests have been also performed on contemporary Landsat/PRISMA acquisition showing an R2=0.94 for LANSDAT ET standard product vs Landsat/PRISMA combined product (SEBAL algorithm). Preliminary results show that the ET 70m products derived combining PRISMA and ECOSTRESS are of good quality in terms of dynamic range and spatial pattern so that they could be applied to better describe the phenological growing cycle of the sugarcane crop filling the gaps of the ECOSTRESS L3 products availability.

AUTHORS: MIRZAEI, SAHAM (1) BRUNO, ROBERTA (2) CASA, RAFFAELE (3) PASCUCCI, SIMONE (1) PIGNATTI, STEFANO (1) PRATOLA, CHIARA (2) TRICOMI, ALESSIA (2)
ORGANISATIONS: 1: INSTITUTE OF METHODOLOGIES FOR ENVIRONMENTAL ANALYSIS (IMAA)- ITALIAN NATIONAL RESEARCH COUNCIL (CNR), C. DA S.LOJA, 85050 TITO SCALO, ITALY; 2: E-GEOS S.P.A., VIA TIBURTINA, 965 – 00156 ROME – ITALY; 3: DEPARTMENT OF AGRICULTURE AND FORESTRY SCIENCES (DAFNE), UNIVERSITY OF TUSCIA, VIA SAN CAMILLO DE LELLIS, 01100 VITERBO (ITALY)