Coconut, an important perennial tree largely grown in Tamil Nadu to the extent of 4.61 lakh hectares. Inthis study, attempt has been made to create a spatial data base on spatial changes of coconut acreage inCoimbatore and Tiruppur districts of Tamil Nadu. The methodology involves digital classification of satelliteimage and identifying coconut plantations and creation of spatial database of coconut area in Coimbatoreand Tiruppur districts for the period 2019 and compare the same with 2013 data. Total area of coconutunder Coimbatore and Tiruppur was found to be 80,065 and 58,357 ha respectively. A comparison betweenarea obtained from this study and the area statistics released by Coconut Development Board data wasdone using paired t-test and the p-value was 0.005, which showed that there was no significant differencebetween the two data and the RMSE value was also found to be low, which indicated that this methodologycan be adopted for mapping the coconut area. Change detection analysis showed that the area decreased in Coimbatore to the tune of 5.4 per cent, whereas there was not much change in Tiruppur district and reduction in area was only 0.2 per cent. The accuracy was worked out by comparing the assessment based on the Remote sensing data and the government estimates which showed a difference of 9.54 per cent indicating the accuracy of 90.46 per cent.

A research study was conducted for summer paddy area estimation in Needamangalam and Mannargudi blocks of Cauvery delta zone of Tamil Nadu using Sentinel-2A satellite data. Optical data reflects the biological features of objects and provides spectrum information about the surface. Sentinel-2A satellite data were obtained for the study area during summer seasonand processed using ENVI Software. The paddy area was derived from the processed data using ground truth points collected during the cropping period of the study area. The summer paddy cultivating area in the Needamangalam and Mannargudi blocks of the Cauvery delta zone was estimated as 8082 ha. Needamangalam and Mannargudi blocks are having 5766.25 and 2315.75 ha, respectively as summer paddy area Accuracy assessment of the classification was carried out using the confusion matrix for the collected ground truth points and the overall classification accuracy was 89.6 percent with a kappa scoreof 0.79.