presentación de powerpoint -...

HORIZON 2020

mailto:[email protected]


Sentinels Synergy for Agriculture

H2020 EO-3-2016: Evolution of Copernicus services

Objetivos y primeros resultados del proyecto SENSAGRI

XVII Congreso de la Asociación Española de Teledetección. Murcia. 3-7 de octubre de 2017 1



Objetivos de SENSAGRI

• Desarrollar nuevas aplicaciones para el sector agrícola europeo, combinando datos de los satélites del programa Copernicus, Sentinel-1 (radar), Sentinel-2 (óptico) y datos in-situ.

• Desarrollar prototipos de servicios Copernicus para humedad del suelo (SSM), índice de área foliar (LAI) y mapas de cultivos estacionales, y usar esos prototipos para implementar servicios agrícolas avanzados (“prueba de concepto”).

• Validar los servicios y establecer casos de demostración en áreas test, para mostrar el potencial de éstos como futuros servicios Copernicus .

• Interaccionar con Copernicus y con el sector agrícola para dar a conocer y enfocar adecuadamente los servicios propuestos.

www.sensagri.eu

http://www.sensagri.eu/



Servicios de SENSAGRI

SENSAGRI products Current Copernicus products

Prototype services (widely

applicable)

Target Spatial

resolution

Target Temporal

resolution

Product Spatial resolution

Temporal

resolution

Surface soil moisture (SSM) 250-1000 m* weekly** Soil Water Index

(METOP-ASCAT)

>= 1000 m (prod)

300 m (in dev.) Daily

Green and brown LAI 20 m weekly** Leaf Area Index

(SPOT-VGT, Proba-V)

>= 1000 m (prod)

300 m (in dev.) 10-daily

Seasonal crop mapping 20 m*** 2 or 3 per year None available

Proof-of concept services (limited

applicability outside test areas)

Dry Biomass & Yield 20 m

Dry biomass:

weekly at season end

Yield: yearly

Dry matter productivity

(SPOT-VGT, Proba-V) 1000 m 10-daily

Irrigated/not irrigated area 250 m* 3 or 4 per year Corine Land Cover

(three classes)

MMU of 5 to 25

ha

bi-yearly

yearly

Tillage change 250 m* 5 or 6 per year None available

Added-value crop

classification 10 m 2 or 3 per year

Corine Land Cover

(limited crop legend)

MMU of 5 to 25

ha

bi-yearly

yearly

* A higher spatial resolution shall be tested. ** In ideal situation, i.e. in case of the two S1 and S2 satellites operational. Otherwise biweekly. *** 10 m spatial resolution shall be tested.



Estrategia de validación

Four European agricultural test sites

Spain: ITACYL - Duero River-basin France: UPS-CESBIO - OSR Auradé and Lamasqère Italy: CREA/CNR - Apulian Tavoliere Poland: IPP/NRI – Winna Góra

Three non-European test sites Argentina: INTA – Hilario Ascasubi Two JECAM sites (Morocco and Tunisia)

CLC agricultural classes. Source: EEA

Services Ground Variable Time

SSM Volumetric Soil

Moisture at 0-5 cm depth

Continuous monitoring 3 measurement campaigns at critical

stages and during irrigation season

LAI Leaf Area Index,

with LAI-2000 Plant Canopy Analyzer

3 measurement campaigns at critical stages and during growing season

Seasonal Crop Mapping

Crop types 3 measurement campaigns in March, June and September

Irrigated areas Irrigated and not

irrigated fields 3 measurement campaigns in March, June and September

Tilled areas Tilled and not

tilled fields

Yield Commercial yield 1 measurement campaign at crop harvest

Intermediate crops

Crop types 2 measurement campaigns in March and July



Implementación



LAI green & LAI brown

Current operational LAI products focus on green vegetation

When crops senescence LAI stays high even when chlorophyll degrades to zero

Senescent vegetation represents a significant amount of aboveground biomass and is a key factor in the carbon cycle

5/27



LAI green & LAI brown con Sentinel-2



• Non-parametric regression method

• Training datasets of Input –

Output data pairs • Kernel - based MRLA

method

Estimación de LAI mediante Gaussian Processes Regression (GPR)

• Delivery of associated uncertainties

• Evaluation of the spectral bands relevance

- Input: Reflectance observations

- Output: Biophysical parameter



Datos para calibración

• Barrax, Spain

• SPARC 12th to 14th July 2003

• LiCor-LAI-2000

• HyMap

• Corn, potato, garlic, onion

• Valencia, Spain

• L’Horta

• April 7th 2017

• Pocket LAI

• Onion, orange tree, lettuce

• Bílý Kříž, Czech Republic

• 31th August 2016

• LiCor-LAI-2000

• Spruce forest

LAI green

• Barrax, Spain

• SPARC 12th & 14th July 2003

• LiCor-LAI-2000

• HyMap

• Valladolid, Spain

• 20th to 22nd June 2017

• LiCor-LAI-2200

• Mainly wheat and barley

LAI brown

• Bare soil, roads, buildings

• S2 images:

• Buenos Aires, Argentina

• Toulouse, France

• Albacete, Spain

• Poznan, Poland

Non-vegetated (LAI=0)

LAI green 223 points LAI brown 84 points

XVII Congreso de la Asociación Española de Teledetección. Murcia. 3-7 de octubre de 2017

13


Software Package

K-Fold Cross Validation

GPR model LAI green

GPR model LAI brown

Training dataset divided into k

equal-sized sub-dataset

Training k-1 sub-datasets

Validation single sub-dataset

The cross validation process is repeated k

times

Validación




Implementación de la cadena de proceso



Resultados: Evaluación de los modelos de GPR

LAI green LAI brown



The lower the sigma the more relevant the band

LAI green LAI brown

Resultados: Evaluación de los modelos de GPR


LAI green and LAI brown retrieval

LAI green

LAI brown

µ [m2/m2] SD [m2/m2] CV [%] Valladolid, Spain June 2017


Composite LAI green/LAI brown maps



Valladolid, Spain June 2017



Toulouse, France July 2016

Composite LAI green/LAI brown maps



Composite LAI green/LAI brown maps Poznań , Poland

June 2017



Time series analysis Valladolid, Spain



Conclusiones

• SENSAGRI es un proyecto que aspira a proporcionar prototipos para nuevos servicios de Copernicus en agricultura.

• La Universidad de Valencia coordina el proyecto y es responsable del desarrollo del prototipo para Índice de Área Foliar (LAI)

• Se propone un índice que combina LAI verde y LAI “marrón” (Green and Brown LAI)

• Se ha puesto a punto una cadena de proceso de S2, utilizando procesos gaussianos (GPR) para la estimación combinada de LAI verde y marrón, con buenos resultados (preliminares).

XVII Congreso de la Asociación Española de Teledetección. Murcia. 3-7 de octubre de 2017 xxxxx


https://igarss2018.org/



HORIZON 2020



presentación de powerpoint -...

Documents