Bangladesh-Barisal, Alamdanga

Overview

Our main focus is on estimating bio-physical parameters such as ground cover (fVeg) and leaf area index (LAI) at different scales. We have collected data on the ground and with a drone.
We also conducted a large campaign in order to determine the area of mung bean in the coastal region of Bangladesh.

Project Objectives

Mapping Agricultural Areas

Operational Implementation Plan

We have conducted a large study under the STARS project for the Barisal site (Fig 1). We collected information on croptypes for 2 years. In the coming season (winter 2016 – 2017), we will start a wheat blast monitoring project, for which we will continue to collect information on crop types.

Scale

Land Use Types
  • Crop Land:
    • Spatial Resolution:
    • Temporal Resolution:

Estimation of Biophysical Variables

Operational Implementation Plan

We are monitoring subsets of the AOI with an UAV, and some fields are left fallow during the dry winter months.

Biophysical Variables
  • Residue and Tillage mapping

Forecasting Agricultural Variables

Operational Implementation Plan

We will be monitoring soil moisture for irrigation experiments. We will also engage in a yield estimation study on farmers fields in the Dinajpur and Alamdanga regions. For that project, we will collect information on crop types and digitize field boundaries.

Agricultural Variables (large scale)
  • Yield
  • Soil Moisture

Site Description

Landscape Topographyflat, delta region
Typical Field Size0.05-0.1 ha
Climatic ZoneSubtropics, warm/ mod cool
Major Crops and Calendars

Rice (Normal):
Typical Rotation: Rice-Rice, Rice-Wheat, Rice-Maize, Rice-legume crop (2-3 crops per year)

Wheat (Normal):
Calendar: November - May
Typical Rotation: Wheat-Rice

Mungbean (Normal):

Lathyrus (Normal):

Soil Type & Texture

Inorganic:

  • Clay Loam
Soil Drainage Class["Poorly drained"]
Irrigation Infrastructure["Surface irrigation"]
Other Site Details

CIMMYT conducts many on-farm experiments in that region

In Situ Observations

Ground Cover ( fCover)

  • Crop Type(s): Maize, Mungbean, Wheat
  • Collection Protocol:

    RGB photos taken with smart phones from above (NADIR), analysis with CanEye, possibly automated program

  • Frequency: Every 2 weeks for wheat and mungbean, maize from crop emergence until crop reaches about 1 m height

LAI

  • Crop Type(s): Maize, Mungbean, Wheat
  • Collection Protocol:

    Measurement with SunScan and PocketLAI app

  • Frequency: Every 2 weeks from emergence until maturity

Multispectral-data

  • Crop Type(s): Maize, Mungbean, Wheat
  • Collection Protocol:

    Use of UAV (5 bands), 10 cm resolution

  • Frequency: Every 2 weeks

Crop type and field boundaries

  • Crop Type(s): Maize, Mungbean, Wheat
  • Collection Protocol:

    Use of UAV (RGB images)

  • Frequency: Once per season

EO Data

Optical Data Requirements

  • Approximate Start Date of Acquisition: 31/03
  • Approximate End Date of Acquisition: 01/04
  • Spatial resolution: Very high resolution (below 5m)
  • temporal_frequency: Biweekly
  • Level of Expertise: Intermediate
  • Latency of Data Delivery: 1 Day2-5 daysMore than 5 days
  • Challanges:
  • SAR Data Requirements

  • Approximate Start Date of Acquisition: 01/12
  • Approximate End Date of Acquisition: 15/05
  • Spatial resolution: Very high resolution (below 5m)
  • temporal_frequency: Biweekly
  • Frequency: C
  • Incidence Angle: Medium
  • Polarisation:
  • Level of Processing: Level 2
  • Orbit: Any
  • Level of Expertise: Intermediate
  • Latency of Data Delivery: 1 Day2-5 daysMore than 5 days
  • Challanges:
  • Passive Microwave Data Requirements

    Thermal Data Requirements

    Results

    Documents and Files

    Links to paper

    Project Reports

    Study Team

    Team Leader

  • Name: Urs Schulthess
  • Affiliation: International Maize and Wheat Improvement Center-CIMMYT
  • Affiliation Webpage: https://www.cimmyt.org/
  • Position:
  • Email: u.schulthess@cigar.org
  • Personal Webpage:
  • Phone number:
  • Postal Address:
  • Other Team Members

  • Name: Golam MAHBOOB
  • Affiliation: Bangladesh Agricultural Research Institute
  • Affiliation Webpage:
  • Position:
  • Email: Golam.Mahboob@gmail.com
  • Personal Webpage:
  • Role: Co-Lead