Wheat Locator

About?

Developed by the GEOAI research group, the “Wheat Locator” App uses a deep learning transformer-based model to extract wheat fields from Sentinel-2 images as detailed in this manuscript. This work explores the feasibility of cross-area and cross-year out-of-distribution generalization of crop segmentation models. We adopted the TSViT model to address wheat field segmentation in Lebanon using PEFT techniques. We relied on an in-house labeled dataset, called the Lebanese Wheat dataset, that comprises high-quality annotated polygons for wheat and non-wheat classes for the study area in the Beqaa area, Lebanon, with a total surface of 170 km², over five consecutive years from 2016 to 2020. Using a time series of multispectral Sentinel-2 images, our model achieved an 84% F1-score. Our code is publicly available at this Repo.

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The App will automatically download the required Region of Interest (RoI) images or use available workspace images. Since we trained the transformer model on a Satellite Images Time Series (SITS) of Lebanon, the model’s out-of-distribution (OOD) performance will be hindered when testing using new regions. This work is in the beta phase, and your feedback is highly appreciated via this LINK or through info@geogroup.ai.

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Input Parameters:

  1. Sowing (Planting) Month: wheat planting month in the selected RoI

  2. Harvesting Month: wheat harvesting month in the selected RoI

  3. Year: wheat harvest year

  4. Bounding Box: to reduce time and computational complexity into an acceptable size, the area of the bonding box should be less than 30km2 (3000ha)

Credits:

Models training and WASDI deployment by Eng. Mohamad Hasan Zahweh under Dr Ali J. Ghandour supervisor.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.