참고문헌
- Ban, H.-Y., D.-H. Choi, J.-B. Ahn, and B.-W. Lee, 2017. Predicting Regional Soybean Yield using Crop Growth Simulation Model, Korean Journal of Remote Sensing, 33(5-2): 699-708 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.9
- Jung, M.-P., H.-J. Park, and J.-B. Ahn, 2017. Distribution of Agro-climatic Indices in Agroclimatic Zones of Northeast China Area between 2011 and 2016, Korean Journal of Remote Sensing, 33(5-2): 641-645 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.4
- Kim, J.-H., C.-K. Lee, W.-G. Sang, P. Shin, H.-S. Cho, and M.-C. Seo, 2017. Introduction to Empirical Approach to Estimate Rice Yield and Comparison with Remote Sensing Approach, Korean Journal of Remote Sensing, 33(5-2): 733-740 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.12
- Kwak, K.-H., N.-W. Park, K.-D. Lee, and K.-Y. Choi, 2017. Crop Classification for Inaccessible Areas using Semi-Supervised Learning and Spatial Similarity : A Case Study in the Daehongdan region, North Korea, Korean Journal of Remote Sensing, 33(5-2): 689-698 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.8
- Lee, J.-H., B.-S. Seo, and S.-K Kang, 2017a. Development of a Biophysical Rice Yield Model using All-Weather climate data, Korean Journal of Remote Sensing, 33(5-2): 721-732 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.11
- Lee, J.-L., J.-B. Ahn, and M.-P. Jung, and K.-M. Shim, 2017b. A Study on the Method of Producing the 1 km Resolution Seasonal Prediction of Temperature over South Korea for Boreal Winter using Genetic Algorithm and Global Elevation Data Based on Remote Sensing, Korean Journal of Remote Sensing, 33(5-2): 661-676 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.6
- Lee, K.-D., S.-I. Na, S.-Y. Hong, C.-W. Park, K.-H. So, and J.-M. Park, 2017c. Estimating Corn and Soybean Yield Using MODIS NDVI and Meteorological Data in Illinois and Iowa, USA, Korean Journal of Remote Sensing, 33(5-2): 741-750 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.13
- Ma, J.-W., K.-D. Lee, K.-Y. Choi, and J. Heo, 2017. Rice Yield Estimation of South Korea from Year 2003-2016 Using Stacked Sparse AutoEncoder, Korean Journal of Remote Sensing, 33(5-2): 631-640 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.3
- Na, S.-I., C.-W. Park, K.-H. So, J.-M. Park, and K.-D. Lee, 2017a. Satellite Imagery based Winter Crop Classification Mapping using Hierarchical Classification, Korean Journal of Remote Sensing, 33(5-2): 647-659 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.5
- Na, S.-I., C.-W. Park, K.-H. So, J.-M. Park, and K.-D. Lee, 2017b. Development of Garlic & Onion Yield Prediction Model on Major Cultivation Regions considering MODIS NDVI and Meteorological Elements, Korean Journal of Remote Sensing, 33(5-2): 677-687 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.7
- Nguyen, M.-H., J.-W. Ma, K.-D. Lee, and J. Heo, 2017. The Design of Web-based Crop Information System Using Open-Source Framework and Remotely Sensed Data, Korean Journal of Remote Sensing, 33(5-2): 751-762 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.14
- Park, H.-J., J.-B. Ahn, and M.-P. Jung, 2017. Correlation between the Maize Yield and Satellite-based Vegetation Index and Agricultural Climate Factors in the Three Provinces of Northeast China, Korean Journal of Remote Sensing, 33(5-2): 709-720 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.10
- Yoo, H.-Y., K.-D. Lee, S.-I., Na, C.-W. Park, and N.-W. Park, 2017. Field Crop Classification Using Multi-Temporal High-Resolution Satellite Imagery: A Case Study on Garlic/Onion Field, Korean Journal of Remote Sensing, 33(5-2): 621-630 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.5.2.2