Book Chapters

Di, L. (2021). Agro-geoinformatics: Theory and Practice. Springer Nature.

Di, L., & Sun, Z. (2021). Big data and its applications in agro-geoinformatics. In Agro-geoinformatics (pp. 143–162). Springer.

Lin, L., & Zhang, C. (2021). Land Parcel Identification. In L. Di & B. Üstündağ (Eds.), Agro-geoinformatics: Theory and Practice (pp. 163–174). Springer International Publishing. https://doi.org/10.1007/978-3-030-66387-2_9

Zhang, C., & Lin, L. (2021). Image Processing Methods in Agricultural Observation Systems. In L. Di & B. Üstündağ (Eds.), Agro-geoinformatics: Theory and Practice (pp. 81–102). Springer International Publishing. https://doi.org/10.1007/978-3-030-66387-2_6

Di, L., & Üstündağ, B. (2021). Introduction to Agro-Geoinformatics: Theory and Practices. Agro-Geoinformatics: Theory and Practice, 1.

Hu, L., Di, L., & Yue, P. (2021). Design and Implementation of Geospatial Data Services for Agriculture. Agro-Geoinformatics: Theory and Practice, 385.

Sun, Z., Di, L., Fang, H., Guo, L., Tan, X., Jiang, L., & Chen, Z. (2021). Agro-geoinformatics Data Sources and Sourcing. Agro-Geoinformatics: Theory and Practice, 41.

Yagci, Y., Ali Levent, Santanello, J.A., Rodell, M., Deng, M., Di, L., 2018. A Comparison of Satellite Data-Based Drought Indicators in Detecting the 2012 Drought in the Southeastern US, in: Remote Sensing of Hydrometeorological Hazards. CRC-Press – Taylor & Francis Group.

Di, L., 2018. Land-Use Patterns and Land-Use Change, in: Changing China. https://doi.org/10.4324/9780429501760-2