• A panchromatic band with 15 metre spatial resolution (band 8) Landsat 7 and Landsat 8 data’s bands, wavelength & their resolution are given below.In general, Healthy vegetation is good absorber of electromagnetic spectrum in visible reason.

(Obtained from raw Landsat metadata) This dataset is the atmospherically corrected surface reflectance from the Landsat 7 ETM+ sensor. 170km x 183km using a LEDAPS version used to process surface reflectanceLandsat Product Identifier (Collection 1)Internal ESPA image version used to compute SRAsk questions using the google-earth-engine tagBand 4 (near infrared) surface reflectanceTime of the observations as in ISO 8601 string. the Version of the software used to produce the 'pixel_qa' band precision correction in the across-track direction. NDVI is highly associated with vegetation content. directions. residuals (meters) in both across-track and along-track Generally, we obtain following result:Bhatta, B. So, water appear blue. Chlorophyll contains in a greeneries highly absorbs Blue (0.4 - 0.5 µm) and Red (0.6 - 0.7 µm) spectrum and reflects Green (0.5 – 0.6 µm) spectrum. Negative value of NDBI represent water bodies where as higher value represent build-up areas. The VNIR and SWIR bands have a resolution of 30m / pixel. Note: pixel_qa is likely to present more accurate results (2011). Earth Engine Data Catalog View all datasets Figure 10 shows sample profiles of the sensor viewing images. These images contain 4 visible and near-infrared (VNIR) bands and 2 short-wave Band 6 brightness temperature. LANDSAT/LE07/C01/T1_SR, Strips of collected data are packaged into overlapping "scenes" covering approximately USGS Landsat 7 Surface Reflectance Tier 1Percentage cloud cover over land, -1 = not calculated. Normalized Difference Vegetation Index (NDVI): The Normalized Difference Vegetation Index (NDVI) is a numerical indicator that uses the red and near-infrared spectral bands. The index uses Green and Near infra-red bands of remote sensing images. Build-up features having positive values lies between 0 to 0.2. Improving the normalized difference build-up index to map urban built-up areas using a semiautomatic segmentation approach, Remote Sensing Letters, 1:4, 213-221, DOI: 10.1080/01431161.2010.481681Also, the Normalize Difference Build-up Index value lies between -1 to +1. Higher the resolution of satellite data (spatial resolution, spectral resolution, radiometric resolution, temporal resolution), higher degree of accuracy will achieve during classification.For Landsat 8 data, NDBI = (Band 6 – Band 5) / (Band 6 + Band 5)For Landsat 8 data, NDWI = (Band 3 – Band 6) / (Band 3 + Band 6)The NDVI rate can be calculated using raster calculator in ArcGIS.For Landsat 7 data, NDWI = (Band 4 – Band 5) / (Band 4 + Band 5)Water bodies having low reflectance. measured on the GCPs (Ground Control Points) used in geometric Built-up index is the binary image with only higher positive value indicates built-up and barren thus, allows BU to map the built-up area automatically.Image classification technique (supervised classification and unsupervised classification) is lengthy and complex process. 73: 1381-1391.Y. – Loveland, T.R. For Landsat 7 data, NDWI = (Band 4 – Band 5) / (Band 4 + Band 5) For Landsat 8 data, NDWI = (Band 5 – Band 6) / (Band 5 + Band 6) But result appear form above formula is poor in quality. The observation bands are essentially the same seven bands as TM, and the newly added panchromatic band 8, with a high resolution of 15m was added.

Medium Journal of Remote Sensing. #NDVI #NDWI #NDBI But result appear form above formula is poor in quality. The NDWI can enhance water information efficiently in most cases. Combined RMSE (Root Mean Square Error) of the geometric Band 7 (shortwave infrared 2) surface reflectance Accelerators Panchromatic band is used for increase the resolution of data. So, following formula gives Normalized Difference Vegetation Index (NDVI). temperature. Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images consist of eight spectral bands with a spatial resolution of 30 meters for Bands 1 to 7. NDVI can be calculated by following formula.Gao. It is plotted in a chart that represent wavelengths in horizontal axis and percent reflectance in the vertical axis (fig. and one thermal infrared (TIR) band processed to orthorectified brightness Geoscience and Remote Sensing Symposium, 2005. Date of production for raw Level 1 data as ms since epoch