Rice pest and disease monitoring and forecasting

Rice pest and disease monitoring and forecasting at global scale, covering covering India, Thailand, Bangladesh, Myanmar, Vietnam, Philippines, Cambodia, Pakistan, Nepal, Japan, United States, South Korea, Laos, Iran.

A research team RSCROP led by Prof. Huang Wenjiang and Prof. Dong Yingying focus on monitoring and forecasting of pest and disease occurrence in the main producing countries entering the middle and late growth stage of rice. Integrated with multi-source Earth Observation data, e.g. meteorological data, field data, and remote sensing data (such as GF series in China, MODIS and Landsat series in US, Sentinel series in EU), and self-developed models and algorithms for vegetation pest and disease monitoring and forecasting, the research team constructed the ‘Vegetation pests and diseases monitoring and forecasting system’, which could regularly release schematically maps and reports on main vegetation pests and diseases at global scale.

Data creation: 2022-05-27

Contact points:

Distributor: Wenjiang Huang

Maintainer: Aerospace Information Research Institute-Chinese Academy of Sciences

Resource constraints:

license

Online resources:

Data and Resources

Metadata:

characterSet
utf8
dataIdentification
abstract
Rice pest and disease monitoring and forecasting at global scale, covering covering India, Thailand, Bangladesh, Myanmar, Vietnam, Philippines, Cambodia, Pakistan, Nepal, Japan, United States, South Korea, Laos, Iran. A research team RSCROP led by Prof. Huang Wenjiang and Prof. Dong Yingying focus on monitoring and forecasting of pest and disease occurrence in the main producing countries entering the middle and late growth stage of rice. Integrated with multi-source Earth Observation data, e.g. meteorological data, field data, and remote sensing data (such as GF series in China, MODIS and Landsat series in US, Sentinel series in EU), and self-developed models and algorithms for vegetation pest and disease monitoring and forecasting, the research team constructed the ‘Vegetation pests and diseases monitoring and forecasting system’, which could regularly release schematically maps and reports on main vegetation pests and diseases at global scale.
characterSet
utf8
citation
dates
  • date
    2022-05-27
    dateType
    creation
edition
V1
title
Rice pest and disease monitoring and forecasting
descriptiveKeywords
  • keywords
    • Wheat pests and diseases
    • Rice pests and diseases
    • Rice blast
    • Rice planthopper
    • Crop growing condition
    • Rice pests and diseases monitoring and forecasting
    • India
    • Thailand
    • Bangladesh
    • Myanmar
    • Vietnam
    • Philippines
    • Cambodia
    • Pakistan
    • Nepal
    • Japan
    • United States
    • South Korea
    • Laos
    • Iran
    • Global, Countries
    type
    theme
  • keywords
    • Global
    type
    place
extent
  • temporal
    beginDate
    2021-01-01
    endDate
    2021-12-31
  • geographic
    bbox
    east
    180.00
    north
    80.00
    south
    -60.00
    west
    -180.00
language
eng
resourceConstraints
legalConstraints
useConstraints
  • license
resourceMaintenance
maintenanceAndUpdateFrequency
annually
spatialRepresentationType
  • grid
spatialResolution
  • scaleDenominator
    1000
  • distance
    1000
    unit
    m
status
onGoing
topicCategory
  • imageryBaseMapsEarthCover
dataQualityInfo
lineage
scope
dataset
fileIdentifier
c1010a64-a1ac-4532-94ee-b9a7364f1345
language
eng
metadataStandardName
ISO 19115:2003/19139
metadataStandardVersion
1.0
referenceSystemIdentifier
SR-ORG:6974
spatialRepresentationInfo
gridSpatialRepresentation
  • dimension
    • dimensionName
      row
      dimensionSize
      43200
    • dimensionName
      column
      dimensionSize
      86400
    numberOfDimensions
    2
    transformationParameterAvailability
    True

Options:

validation
True

Type:

iso

Additional Info

Field Value
Source https://data.apps.fao.org/catalog/dataset/c1010a64-a1ac-4532-94ee-b9a7364f1345
Last Updated June 17, 2022, 09:45 (UTC)
Created June 17, 2022, 09:39 (UTC)