Maize is widely produced because it is the essential raw material for animal feed industries. Maize is one of the drought-tolerant plants; however, it needs to consume water for cultivation like Crop Water Requirement (CWR). In fact, CWR estimation is used to investigate sufficient agricultural water consumption. In addition, CWR estimation can presently calculate from the global crop coefficient from the FAO Penman-Monteith. On the other hand, when this crop coefficient of maize in each area is not similar under local conditions, the global crop coefficient is inconsistent with the specific area. Therefore, this study aims to estimate the crop coefficient of maize under local conditions under the study area. The crop coefficient (Kc) of maize is calculated by using remote sensing technique in the maize crop through image processing for the Normalized Difference Vegetation Index (NDVI) as NDVI-Kc to estimate the CWR and then CWR using NDVI-Kc is compared with CWR from Royal Irrigation Department. The study area is Mae Chaem district in Chiang Mai Province because this area is a steep slope and lack access to irrigation. Results reveal the amount of CWR through NDVI-Kc in this study area is 471.50 m3/ rai, which is similar to CWR of the Royal Irrigation Department around 550 m3/ rai. In other words, the accuracy assessment of this result is 86 % as percent accuracy. NDVI-Kc can assess CWR to plan water management for maize in the steep slope which is difficult to access water source.

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