Damming effect on demarcating fish habitability of some selected fishes in wetland based on image driven hydrological components like water presence frequency, water depth and hydro-period is the major focus of this present study. From the study, it is found that damming has hastened the rate of hydrological transformation increasing inconsistency in water presence frequency, reducing the depth of water and shortening hydro-period of the wetland. Integrated Rule Based Decision Tree (RBDT) modeling incorporating the above mentioned hydrological components has been used for finding out suitable habitat for some selected fishes (carp fishes, shrimp, tilapia and cat fishes) for both pre and post-dam periods. From these models, it is evident that a very small proportion of wetland area was suitable for good fish habitat (11.03% to 48.43%) during pre-dam period, however, post-dam hydrological alteration has almost deteriorated the good habitat area. Field investigation has proved that fish catch frequency, growth rate of fish were high earlier but it is significantly reduced during post-dam period. Such image driven hydrological component based fish habitat modeling is very new, however inclusion of more factors like water quality and food availability may enhance the quality of output.

基于图像驱动的水文成分，如水存在频率、水深和水周期，筑坝对某些选定的湿地鱼类的宜居性划定是本研究的主要焦点。研究发现，筑坝加快了水文变化的速度，增加了水体出现频率的不一致性，降低了水深，缩短了湿地的水文周期。综合基于规则的决策树 (RBDT) 建模结合了上述水文成分，已被用于为一些选定的鱼类（鲤鱼、虾、罗非鱼和猫鱼）寻找大坝前后时期的合适栖息地。从这些模型中可以明显看出，只有很小一部分湿地面积适合良好的鱼类栖息地（11.03% 至 48. 43%) 坝前时期，但坝后水文变化几乎破坏了良好的栖息地。实地调查证明，鱼的捕捞频率、鱼的生长速度较早高，但在坝后显着降低。这种基于图像驱动的水文组件的鱼类栖息地建模是非常新的，但是包含更多的因素，如水质和食物供应可能会提高输出质量。