@inproceedings{scholars6942,
             doi = {10.1088/1755-1315/37/1/012029},
           title = {Deforestation alters rainfall: A myth or reality},
            note = {cited By 6; Conference of 8th IGRSM International Conference and Exhibition on Geospatial and Remote Sensing, IGRSM 2016 ; Conference Date: 13 April 2016 Through 14 April 2016; Conference Code:123367},
            year = {2016},
         journal = {IOP Conference Series: Earth and Environmental Science},
          number = {1},
          volume = {37},
       publisher = {Institute of Physics Publishing},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984596157&doi=10.1088\%2f1755-1315\%2f37\%2f1\%2f012029&partnerID=40&md5=df69bd2de254a9ff95d3fdebb61b5d0c},
            issn = {17551307},
        keywords = {Agriculture; Deforestation; Forestry; Image reconstruction; Land use; Radiometers; Regression analysis; Remote sensing; Satellite imagery; Time series; Vegetation, Above ground biomass; Climatic variables; Confidence interval; Integrated methodology; Moderate resolution imaging spectroradiometer sensors; Natural environments; Natural landscapes; Normalised difference vegetation index, Rain, aboveground biomass; bioindicator; confidence interval; deforestation; environmental disturbance; food safety; land use change; MODIS; NDVI; rainfall; regression analysis; time series analysis, Malaysia},
          author = {Hanif, M. F. and Mustafa, M. R. and Hashim, A. M. and Yusof, K. W.},
        abstract = {To cope with the issue of food safety and human shelter, natural landscape has gone through a number of alterations. In the coming future, the expansion of urban land and agricultural farms will likely disrupt the natural environment. Researchers have claimed that land use change may become the most serious issue of the current century. Thus, it is necessary to understand the consequences of land use change on the climatic variables, e.g., rainfall. This study investigated the impact of deforestation on local rainfall. An integrated methodology was adopted to achieve the objectives. Above ground biomass was considered as the indicator of forest areas. Time series data of a Moderate Resolution Imaging Spectroradiometer (MODIS) sensor were obtained for the year of 2000, 2005, and 2010. Rainfall data were collected from the Department of Irrigation and Drainage, Malaysia. The MODIS time series data were classified and four major classes were developed based on the Normalised Difference Vegetation Index (NDVI) ranges. The results of the classification showed that water, and urban and agricultural lands have increased in their area by 2, 3, and 6, respectively. On the other hand, the area of forest has decreased 10 collectively from 2000 to 2010. The results of NDVI and rainfall data were analysed by using a linear regression analysis. The results showed a significant relationship at a 90 confidence interval between rainfall and deforestation (t = 1.92, p = 0.06). The results of this study may provide information about the consequences of land use on the climate on the local scale.}
}