Results from the Land & Environment

Crop & Drought projects in Dragon-3

Chaired by S. Pignatti & F. Jinlong

Committed products optimal indicators for desertification assessment through comparisons

among vegetation fraction trend analysis, Net Primary Production (NPP) scaling, Rain Use Efficiency (RUE) and its advanced versions (2dRUE)

an operational desertification assessment system at the national and regional scales

Geographic scope China drylands: Potential Extent of Desertification in China (dry sub-

humid, semiarid and arid zones) Resolutions: 4 km, 1 month Target user: Focal Point of China in UNCCD

2014-2015 progress New version of 2002-12 NPP time-series ← CASA (ESA Envisat-MERIS

images), sandy lands Climatic , hierarchical regionalization of China (9 ecozones) Benchmark 2dRUE application to dry lands of Northern China, for each

domain 2dRUE will be fitted for modelling 2dRUE -> Assessment of land states: legend system

IFRIT-EEZA joint field campaign in Inner Mongolia and Gansú (04-11 June 2015)

Project 10367: Desertification Monitoring and Assessment

FAO-UNEP aridity index

Project 10367: Desertification Monitoring and Assessment

Fact and findings from last year’s work Potential Extent of Desertification in China almost

doubled from 1981-2010 to 2002-2012, mainly through extension of semi-arid class

Reworked results show 8.1 % of China’s drylands to be actively degrading along time. A large proportion compared to other cases.

Forthcoming activities within Dragon 3 Consolidate and document previous findings on

monitoring (land trends) Refine the assessment settings (land states) in view

of benchmark results and apply to whole Chine Validate the assessment using available Soil Organic

Carbon data Develop a quantitative metrics targeting at land

degradation level for the assessment Consolidate climatic regionalization as a project by-

product

Map of land trends

Basic figures: Degrading: 536,288 km2 (8.1%) Fluctuating: 1,052,800 km2 (15.9%) Increasing: 476,400 km2 (7.2%) Static: 4,550,992 km2 (68.8%)

ID 10605-Crop Production Estimation Food security: a big issue for current and the future CropWatch: an operational system to monitor global crop condition and forecast the main crops production. It aims at improving food information availability, quality and transparency The second version of CropWatch: the new hierarchical approach for global crop monitoring were proposed. Since Nov 2013, the quarterly bulletin had been released in English and Chinese simultaneously. New algorithms: Cropped Arable Land Fraction (CALF), maximum Vegetation Condition Index (VCI), NDVI cluster analysis, crop yield model

Crop Watch Hierarchical Approach

New research on crop mapping and crop area estimation

NDVI time series were used to build the CALF (Cropped Arable Lands Fraction) algorithm for cropped land identification. CALF is based on a NDVI threshold method combined with a decision tree to identify whether an agricultural pixel is cropped or uncropped

Crop

New research on crop mapping and crop area estimation for China, Canada, Australia, Egypt, and US

In China, HJ 1A/B CCD , GF 1 , Envisat and TerraSar data were used for cropped land and crop type identification. Multi-frequency Radar data effectively improve the crop classification accuracy, better than that using multi-temporal data.

Field border can be easily identified by integration of Radar data and optical data and a objected based classification method.

HJ data, SVM Merged data, MLC

Merged data, NETMerged data, SVM

wheat

cotton

House & road

tree

HJ CCD+ Envisat

Objected classification- Multi-times Segment method

Project ID – 10640 Crop Monitoring Study areas • North China Plain (China) • Northern France and

Belgium(Europe)

Satellite Data Processing • FY3-MERSI (FY-3A/3B/3C Daily)

– China Since 2009 – Europe Since 2013

• ENVISAT-MERIS 7d – China 2003-2012

• SPOT/VEGETION Daily and ten-day

– China 2008-2013 • PROBA-V VITO PDF 2013-2015

FY3C MERSI 250m Global Dataset

FY3A MERSI 250m - 20140416 FY3A MERSI 250m - 20140101

Winter Wheat Mapping in North China Plain with FY MERSI 250m data

(a)Bagging (b)RBF (c)MLC

2010-2011 2011-2012

2012-2013 2013-2014

Medium resolution Satellite data comparison

Project 10448: Farmland Drought Yield

Water Use Efficiency

2014 Yield and WUE mapping in Yangling as derived by Aquacrop biomass as the state variable in assimilation

2014-2015 advances • analysis of quad-pol SAR data to retrieve biomass • development of index to estimate Canopy Cover and Biomass by

combining SAR and Optical data • exploitation of Aquacrop and SAFY crop models to relate winter wheat

yield to draught • models sensitivity analysis for the individuation of influential parameters • development of techniques to take into account RS variables into crop

models i) Optimization (Particle Swarm Optimization; Simplex based Parameters Optimization ); ii) Ensemble Kalman Filter assimilation techniques

Test areas • Xiaotanshang, Beijing (China) • Yangling, Shaanxi, (China)

2014 wheat season data • Satellite data (Radarsat-2; HJ-1) • Ground data (Crop, Soil, Climate)

Missing research theme • Dragon4 should enable the possibility to submit proposals on transversal

themes like “natural resources management” and Global Changes EO data • Have a more easy procedure to access/order new data (possibility to have a

Data Acquisition Request - DAR) for the Chinese space segment. • Have the possibility to request EO data from both Agencies on Chinese and

not Chinese (worldwide) test sites • Sentinels synergy with future TPM (ENMAP, PRISMA, CSK etc) is missing

DRAGON 4 points

Young scientist program • Young researchers exchange has to be fully supported.

o Both Agencies should support a full PhD position in China and in EU for each project. Support PhD visiting period both in Europe and China

o Support short term mobility of the researchers (e.g. an extra journey a year) to facilitate the progress of the activities carried on by the Chinese and the EU partners

Project dimension Project dimension should be medium-small as well as for Dragon3