View
0
Download
0
Category
Preview:
Citation preview
SAGRIWASENT Management of Land Parcel Identification System and preparation of the
monitoring in the framework of the CAP
Emilie Beriaux, Cozmin Lucau
Walloon Agricultural Research Centre
Agriculture and Natural Environment Department
Farming systems, Territory and Information Technologies Unit e.beriaux@cra.wallonie.be
24/04/2018
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Walloon Agricultural Research Center
410 including
120 scientists
300 ha experimental
fields, orchards,
greenhouses, laboratories…
3 sites Gembloux, Libramont, Mussy-la-
ville
150 research
projects at
regional, national and
european level
29 automatic
agricultural weather stations
‘PAMESEB network’
Regional public body
Walloon Agricultural Research Centre acts as active interface between farmers, universities, industries and administrations/authorities for society/individuals
issues
Walloon Agricultural Research Centre acts as active interface between farmers, universities, industries and administrations/authorities for society/individuals
issues
Walloon Agricultural Research Centre acts as active interface between farmers, universities, industries and administrations/authorities for society/individuals
issues
Universities and other research
institutions
Walloon Agricultural Research Centre acts as active interface between farmers, universities, industries and administrations/authorities for society/individuals
issues
Bussiness/industry Universities and other research
institutions
Walloon Agricultural Research Centre acts as active interface between farmers, universities, industries and administrations/authorities for society/individuals
issues
Bussiness/industry Universities and other research
institutions
Walloon Agricultural Research Centre acts as active interface between farmers, universities, industries and administrations/authorities for society/individuals
issues
Bussiness/industry
Society Individuals
Universities and other research
institutions
SAGRIWASENT 1. THE PROJECT
2. OBJECTIVES
3. DATA SET
4. PRELIMINARY RESULTS
SAGRIWASENT 1. THE PROJECT
2. OBJECTIVES
3. DATA SET
4. PRELIMINARY RESULTS
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
SAGRIWASENT
40 months project (started in May 2017)
Funded by Walloon Region
Carried out by Walloon Agricultural Research Centre Active collaboration with UCL-ELIE
2017 2018 2019 2020
12 months
SAGRIWASENT 1. THE PROJECT
2. OBJECTIVES
3. DATA SET
4. PRELIMINARY RESULTS
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
SAGRIWASENT - objectives
1. Change detection of agricultural parcels
2. Check of crop diversification (crop classification)
3. Monitoring of land cover evolution
Management of Land Parcel Identification
System (LPIS) and preparation of the monitoring in the
framework of Integrated Agricultural Control System
Helping Farmers : for Geo Spatial Aid Applications (PAConWeb)
Wallon Paying Agency (LPIS management and monitoring)
SAGRIWASENT 1. THE PROJECT
2. OBJECTIVES
3. DATA SET
4. PRELIMINARY RESULTS
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Data set for LPIS management
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Data set for LPIS management
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
GSAA
Data set for LPIS management
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
GSAA
Data set for LPIS management
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
GSAA
Data set for LPIS management
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Source: https://ec.europa.eu/jrc/sites/jrcsh/files/09_int_mon_brncic.pdf
Data set for LPIS management
OTSC – On The Spot Checks IACS – Integrated Agricultural Control System
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Orthoimagery VHR images
LPIS Meteorological data
In situ data ....
S2 S1
Not useful for direct
LPIS update (parcel
borders)
OPEN SOURCE •R
•QGIS
•SNAP
•Sen2Agri
•Python
•…..
Data set – Sentinel 1 & 2 images
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Advantages and disadvantages of data
Aerial ortho-images
Copernicus
Sentinel 1 (A & B) (SAR)
Sentinel 2 (A & B) (optical)
+ - + - + -
Spatial resolution 0.25 m 10 m 10 m
Price high Only processing Only processing
Utilisation Easy Pre processing Easy
Temporal resolution
annuelle 2-3 days 3-5 days clouds
Availability n + 1
/ Retroactivity
Several times/year Corrections during the campaign
Several times/year Corrections during the campaign
LPIS needs Yes n+1 Yes Just identification Yes Just identification
Data set – Sentinel 1 & 2 images
SAGRIWASENT 1. THE PROJECT
2. OBJECTIVES
3. DATA SET
4. PRELIMINARY RESULTS
SAGRIWASENT 1. THE PROJECT
2. OBJECTIVES
3. DATA SET
4. PRELIMINARY RESULTS
- Change detection - Crop classification - Monitoring of land cover evolution
SAGRIWASENT 1. THE PROJECT
2. OBJECTIVES
3. DATA SET
4. PRELIMINARY RESULTS
- Change detection - Crop classification - Monitoring of land cover evolution
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – change detection
Identification of areas (agricultural parcels) where a change
in homogeneity of land cover seems to be present
JUST FOR IDENTIFYING THE PARCELS !!! NOT FOR LPIS UPDATE !!!
For LPIS update the use of aerial/satellite imagery VHR or adapted GNSS receivers remains main method
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – change detection
Obj :
• helping farmers for online declarations
• helping administration to identify changes
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – change detection
Calculation of standard deviation of NDVI for each parcel
High values of NDVI Std
Low values of NDVI Std
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – change detection
Two S2 images in February 2018 : More than 2900 parcels with identified with high values of NDVI standard deviation
SAGRIWASENT 1. THE PROJECT
2. OBJECTIVES
3. DATA SET
4. PRELIMINARY RESULTS
- Change detection - Crop classification - Monitoring of land cover evolution
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – crop classification
Check of compliance with greening requirements
(as number of crop types)
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – crop classification
Object oriented supervised
classification « random forest »
algorithm
Wallonia 2017 LPIS = ~279000 plots – 151 crop codes LPIS buffer -15 m = ~251425 plots – 143 crop codes LPIS buffer -15 m – plots > 0.5ha : 228258 – 138 crop codes
Images from 1/1/17 to 31/7/17 Negative buffer of 15 m to avoid mixed pixels Plots > 0.5 ha Crop code at least presents in 10 plots in each dataset Vegetation indices from S2 data (linear interpolation) HV, VV backscattering coefficient + ratio HV/VV Training sample = 50% LPIS Validation sample = 50% LPIS
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Reference
data
LPIS –
buffer 15m
Samples
selection
Training
sample
50%
Validation
sample
50% mask
LPIS –
buffer 15m
S1 Images
S2 Images
Selection period
Pre-
processing
Classification
méthod :
Supervised
Random
Forest
Objet
oriented
validation
Overall accuracy
< track
110,161,37,88
Jan- Jul
< meteo
Jan –Jul
Geocoding
Calibration
Conversion to dB
CNES
Stack- mosaïcs
training
Classification
optic VV HV
HV/VV
NDVI
NDWI
Brightne
ss
S1 Images
Sigma° (dB)
S2 Images Level2a
Indices
extractio
n
Linear
interpo-
lation
Classification
SAR
Classification
SAR/optic
Random selection
Confusion matrix
metrics
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – crop classification Optical data
Optic images OA Nr of fields Nr of crops
16 images +
linear
interpolation
0.83 208746 93
01 – 07/2017 (16 images+ linear interpolation)
94
8 51
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – crop classification SAR data
Orbit Track Time OA Nr of
fields
Nr of
crops
D 110 5 :58 0.87 111418 94
37 5 :50 0.86 170221 92
A 161 17 :32 0.86 172054 106
88 17 :24 0.85 131915 103
01 – 07/2017 (35 or 36 images / track)
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – crop classification Optic and SAR data
SAR
Orbit
SAR
Track
Optic nr
of images
OA Nr of fields Nr of crop
types
D 161 16
images
0.87 163121 93
A, D 110, 161,
37
16
images
0.88 38867 37
01 – 07/2017 (35 or 36 SAR images / track,
16 S2 images + linear interpolation)
SAGRIWASENT 1. THE PROJECT
2. OBJECTIVES
3. DATA SET
4. PRELIMINARY RESULTS
- Change detection - Crop classification - Monitoring of land cover evolution
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – monitoring of land cover evolution
Field campaign Nov-dec 2017
with on-board dash cameras
Dates of winter covers destruction
S1 & S2 images
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – monitoring of land cover evolution
High coherence (if no meteo impact)
Loss of coherence (if works carried out on the parcel
and no meteo impact)
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
Preliminary results – monitoring of land cover evolution
Orge (escourgeon)
Froment d'hiver/épeautre
Betterave sucrière
Betteraves fourragères
Maïs fourrager (ensilage)
Maïs grain
Pomme de terre (excepté primeurs)
Colza
Lin textile
Lin oléagineux
Chicorée à inuline
féverolle d'hiver
féverolle de printemps
pois protéagineux d'hiver
pois protéagineux de printemps
lupin
avril mai Décembreaoût septembre octobre novembre Décembre juin juillet août septembre octobre novembrejanvier février mars
3 months
Taking into account the crops calendar to estimate intercrops periods
sowing
growth
harvest
Walloon Agricultural Research Centre To address today’s questions and to prepare tomorrow’s challenges
www.cra.wallonie.be
QUESTIONS, REMARKS, DISCUSSIONS, FEEDBACK
Recommended