CropWatch cloud for agronomic information Ownership...CropWatch® Mission Release first bulletin in...
Transcript of CropWatch cloud for agronomic information Ownership...CropWatch® Mission Release first bulletin in...
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Prof. Bingfang Wu
Email: [email protected]
Institute of Remote Sensing and Digital Earth (RADI)Chinese Academy of Sciences
CropWatch cloud for
agronomic information Ownership
E-agriculture Solutions Forum 2018, Nanjing 15-17 November
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Outline
Agronomic information gap
CropWatch Cloud
Practices for interest of countries
Outlook
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Food security
3
By 2050 the world’s population will reach 9.8 billion, 29 percent higher than today.
Nearly all of this population increase will occur in developing countries.
More mouth to feed
Nominal wheat price in US $/metric Ton
2010/11 Price hikes
Drought: Russia USA
Landsat 1 Launched
(1972)
1971/2’s price hike
2008 Price hikesDroughts:
Australia & Ukraine
Becker-Reshef et al.
Food Price Volatility
We have to producing 70 percent more food for an additional 2.2 billion people by 2050(FAO. How to Feed the World in 2050)
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Goal 2: Zero Hunger
Pledges to end hunger, achieve food security, improve nutrition and promote sustainable agriculture
require an integrated approach
Sustainable Food Production and
Resilient Agricultural Practices
Ensure Stable Food Commodity Markets and
Timely Access to Information
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Information gap is a big issue
The paucity of adequate capacity in obtain and accessing
up-to-date staple crop production information, which is
essential for a country economic governance and
securing food supply.
Over-dependence on information provided by third
parties and often poses the danger of taking decisions
based on delayed and on not easily verifiable information.
Big financial input and operational cost as well as
adequate technical skills constrain developing countries
to set-up, operate, and maintain such crop monitoring
facilities.
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Outline
Agronomic information gap
CropWatch Cloud
Practices for interest of countries
Outlook
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CropWatch® Mission
Release first bulletin in August, 1998;
Release first English bulletin in November, 2013.
CropWatch aims at improving food informationavailability, quality and transparency
To improve access to global information about theworldwide production of major cereals and soybean
To provide additional, reliable information for developingcountries to fight against hunger, as a science-basedChinese voice on global food security perception
Offer Cloud-based services so that developing countries donot need to take big financial input and operational cost
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CropWatch® Cloud
CropWatch-Pro
• An online tool for people to produce crop monitoring products at any time and anywhere.
CropWatch-Explore
• An online interface for people to explore and analysis all the crop information data easily.
CropWatch-Project
• An online platform for people to create and write the crop bulletin.
CropWatch-Bulletin
• An webpage for people to read CropWatch bulletin.
CropWatch Explorer
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CropWatch-Pro
Models / Algorithms on Cloud
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Automatic data converging and processing
USGS
GSOD
ECWMF
ESA
Other
Auto download
DatabaseProcessing
Resample
Composite
Departure
Batch
http
ftp
python
Data processingStandard algorithm
•Tem perature
•Rainfall
•PAR
•Biom ass
•Sunshine hour
•Aerosol
•PET
•O ther global products
Advance algorithm
•Agro-clim atic risk
•CALF
•VCIx
•VH Im in
•Cropping intensity
•From other sources
Interactive com ponent
•Clustering
•Crop condition
•Crop m aaping
•Crop yield
•……
Models
Tables
Figures
Map servicesIDL
python
arcgis
Automatic
chain
DatabaseData storage
on cloudData from cloud
CustomizeAdvanced
products
Chart
Image
Table
Map
User
Data automatic converging
Automatic processing flow
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CropWatch-Pro
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Cropland and croptype mapping on Cloud
Sentinel-1 composite and process on GEE
Backscatter change from transplanting to flowering
Decision tree using backscatter coefficient / vegetation index at key stage,from transplanting to post flowering
National 10m cropland was extracted using ~20,000 S1, S2 on Google Earth Engine, and ~2,000 China GF-1/2, ZY-3 imageries
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CropWatch-Explore-vector
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CropWatch-Explore-raster
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CropWatch-Analysis
CropWatch Analysis is cloud based participatory tool for the CropWatchteams or invited people from over the world analyzing their CropWatchindicators anywhere. It provides create document, allocate and managetasks, monitor schedule and publish the document online functions whichlet people over the world finish their documents together on the cloudplatform.
CropWatch Team + Experts over the world
The country analysis of each bulletin was finished by 37 experts for 42 countries.
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CropWatch Hierarchical approach
Sub-national for
large countriesCrop type proportion
(some countries)
NationalIn addition to previous indicators, crop cultivated
area, time profile clustering
Regional: Major production zonesIn addition to CWAIS, Vegetation health index, uncropped
arable land, cropping intensity, and maximum vegetation
condition index
Global: homogeneous crop mapping and reporting unitsUsing CropWatch Agroclimatic Indicators (CWAIs) for rainfall, air
temperature, photosynthetically active radiation, and potential biomass
Increasing level of detail, from environmental-climatic to agronomic; from 25 km resolution to 10m
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Task assignment
CropWatch-Analysis
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Write and revise the analysis using the products (maps, graphs, tables, etc) as well as internal thematic products
CropWatch-Analysis
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CropWatch-Bulletin
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CropWatch-Bulletin
Section navigation
Figure navigation
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CropWatch bulletin served for 149 countries
CropWatch already provided information services for 149 countries,
and obvious enhance the transparence of global agricultural
monitoring.
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Outline
Agronomic information gap
CropWatch Cloud
Practices for interest of countries
Outlook
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In 2018, the focus countries by CropWatch increased from 31major countries to 42 countries, the all new countries arelocated within B&R region.
CropWatch monitoring for B&R
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Customization for MozambiqueWorking with partner from the MOA of Mozambique, customization of CropWatchcloud for Mozambique since Dec. 2017.
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Customization for Mozambique
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DroughtWatch for Mongolia
To address the gap of drought in Mongolia, CropWatch team customized
the drought watch for Mongolia which include 10 indicators.
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Drought demonstration in Mongolia
Currently, Drought Watch was already operated routinely in Mongolia.
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Drought demonstration in Mongolia
On September 17, 2018, the DroughtWatch-Mongolia was officially handed over to
the Mongolian National Remote Sensing Center (NRSC)
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Build the bridge for Thailand
Based on the extensibility of cloud-based system, CropWatch will provide the
communication port for existing agronomic monitoring system, allow them to the
public and share the monitoring information.
monitoring
ValidationAgronomic
Agrometeorological
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Outline
Agronomic information gap
CropWatch Cloud
Practices for interest of countries
Outlook
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Fine agronomic information will be coming soon
5m ZY-3 data covering one belt and road will be shared with public,
address: http://cloud.satimage.cn/EN/data_push
CropWatch will provide more fine information for B&R countries using
ZY-3 data.
Source: www.sasmac.cn
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How to work with country?
CropWatch Cloud services Customization and localization Integration with local technical system Utilization of local knowledges
•Agro-climatic indicators
•Agronomic indicators
• Countries ore regional report
• Crop specific report
• Focus and perspectives report
• Data acquisition system
• Preprocessing system
• Thematic data production system
•GVG App
•Field protocol
•Training
• Internet miningGround-Based
Platforms based Crowd Sourcing Geographic Data
Cloud-based Data Processing
System
Cloud-based crop monitoring
system
Bulletin and Report
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Thank you for your attention!