• No results found

[PDF] Top 20 Built-up area extraction using Landsat 8 OLI imagery

Has 10000 "Built-up area extraction using Landsat 8 OLI imagery" found on our website. Below are the top 20 most common "Built-up area extraction using Landsat 8 OLI imagery".

Built-up area extraction using Landsat 8 OLI imagery

Built-up area extraction using Landsat 8 OLI imagery

... for built-up areas (around 50°C), followed by vegetation (around 46°C) and water (around ...of built-up areas is the usage of construction materials that absorb heat during daytime and release ... See full document

40

A Comprehensive Evaluation of Approaches for Built-up Area Extraction from Landsat OLI Images Using Massive Samples

A Comprehensive Evaluation of Approaches for Built-up Area Extraction from Landsat OLI Images Using Massive Samples

... for built-up area extraction from Landsat 8-OLI images based on single pixels or image patches in two perspectives of feature engineering and feature ...on ... See full document

21

Compare NDVI Extracted from Landsat 8 Imagery with that from Landsat 7 Imagery

Compare NDVI Extracted from Landsat 8 Imagery with that from Landsat 7 Imagery

... comparing Landsat 7 and 8 NDVI in grasslands, Landsat 8 NDVI is larger than Landsat 7 NDVI when the value of NDVI is low, supported by a similar result when comparing simulated ... See full document

5

Assessment of Forest Damage in Croatia using Landsat 8 OLI Images

Assessment of Forest Damage in Croatia using Landsat 8 OLI Images

... 13]. Landsat TM and Modis have been applied in the studies related to windfall damage [14, 15] using the pixel based ...forest using high- resolution multispectral Formosat-2 ...2) using image ... See full document

11

Monitoring the Built-up Area Transformation Using Urban Index and Normalized Difference Built-up Index Analysis

Monitoring the Built-up Area Transformation Using Urban Index and Normalized Difference Built-up Index Analysis

... Difference Built-up Index (NDBI) Charting of built regions must apply satellite imagery using the NDBI technique ...of Landsat Enhanced Thematic Mapper Plus (ETM +) data on bands ... See full document

7

Google Earth Engine Based Three Decadal Landsat Imagery Analysis for Mapping of Mangrove Forests and Its Surroundings  in the Trat Province of Thailand

Google Earth Engine Based Three Decadal Landsat Imagery Analysis for Mapping of Mangrove Forests and Its Surroundings in the Trat Province of Thailand

... specified area is crucial for identifying major changes in mangrove forests over ...the Landsat OLI-8 year 2017 im- ages to establish thematic categories of ...study area to collect ... See full document

18

Classification of Landsat 8 Imagery Based On Pca And Ndvi Methods

Classification of Landsat 8 Imagery Based On Pca And Ndvi Methods

... Kalahasti area from Chittoor district in Andhra Pradesh is used for image ...are LANDSAT 8 OLI (operational Land ...of LANDSAT 8 ...desired area raster clip and shape file ... See full document

5

An Erdas Imagine Model To Extract Urban Indices Using Landsat 8 Satellite Imagery

An Erdas Imagine Model To Extract Urban Indices Using Landsat 8 Satellite Imagery

... satellite imagery to retrieve information about the changes on ...generation Landsat mission satellite Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) data ... See full document

6

Complementarity Between Sentinel-1 and Landsat 8 Imagery for Built-Up Mapping in Sub-Saharan Africa

Complementarity Between Sentinel-1 and Landsat 8 Imagery for Built-Up Mapping in Sub-Saharan Africa

... resolution imagery independently from daylight, clouds, or weather ...and built-up ...classifiers using neural networks or support vector machines ... See full document

13

Extraction Technic for Built-up Area Classification in Landsat 8 Imagery

Extraction Technic for Built-up Area Classification in Landsat 8 Imagery

... by using remote sensing ...method using a Built-up Index (BUI) and assessed its performance ...Difference Built-up Index (NDBI) can be defined as the linear combination of the ... See full document

6

Study of Model Object-Based Image Analysis (OBIA) For Data Interpretation Based Mangrove Vegetation Landsat 8 Operational Land Imager on the West Coast City of Bengkulu

Study of Model Object-Based Image Analysis (OBIA) For Data Interpretation Based Mangrove Vegetation Landsat 8 Operational Land Imager on the West Coast City of Bengkulu

... limit using the assumption that the two pixels adjacent to the large difference in value represent two different ...interpret Landsat image data to spatially see mangrove area of Bengkulu ... See full document

8

Landsat TM-8 data for retrieving salinity in Al Huwaizah marsh, South of Iraq

Landsat TM-8 data for retrieving salinity in Al Huwaizah marsh, South of Iraq

... In Iraq, there are other problems have risen up in last decades, such as water quality. American-Iraq war in 2003 has been affecting the water quality of rivers, streams, lakes and marshes in Iraq [3, 8]. ... See full document

6

Estimation and Validation of Land Surface Temperature (LST) from Landsat 8 OLI and TIRS sensor’s Data

Estimation and Validation of Land Surface Temperature (LST) from Landsat 8 OLI and TIRS sensor’s Data

... target area which is emitted from the surface; on the other hand the optical remote sensing measures the radiations which are reflected from the target ...recommended using the differences in the ... See full document

8

Open-Sourced Remote Sensing Data Management with the Irish Earth Observation (IEO) Python Module

Open-Sourced Remote Sensing Data Management with the Irish Earth Observation (IEO) Python Module

... Observation (IEO) Python module and the associated IEOtools scripts for the management of local 57.. Landsat 4 – 8 imagery archives1[r] ... See full document

14

Near infrared band of Landsat 8 as water index: a case study around Cordova and Lapu-Lapu City, Cebu, Philippines

Near infrared band of Landsat 8 as water index: a case study around Cordova and Lapu-Lapu City, Cebu, Philippines

... by extraction using water indexes from remotely sensed images has proven to be effective in delineating surface water against its ...Water Extraction Index, and near infrared (NIR) band using ... See full document

15

Assessing the Limitations and Capabilities of Lidar and Landsat 8 to Estimate the Aboveground Vegetation Biomass and Cover in a Rangeland Ecosystem Using a Machine Learning Algorithm

Assessing the Limitations and Capabilities of Lidar and Landsat 8 to Estimate the Aboveground Vegetation Biomass and Cover in a Rangeland Ecosystem Using a Machine Learning Algorithm

... of Landsat 8 with both biomass and cover ...monitor using temporal remote sensing data and ...(2014). Using a subset of the sample size of this study, Glenn et ... See full document

152

Four decades of forest persistence, clearance and logging on Borneo

Four decades of forest persistence, clearance and logging on Borneo

... forest area are likely an under-estimation because they did not capture most narrow, ephemeral, sub-canopy logging trails branching off the main logging roads or smaller-scale community-level logging ...forest ... See full document

11

APPLICATION OF REMOTE SENSING FOR TEMPERATURE MONITORING: THE TECHNIQUE FOR LAND SURFACE TEMPERATURE ANALYSIS

APPLICATION OF REMOTE SENSING FOR TEMPERATURE MONITORING: THE TECHNIQUE FOR LAND SURFACE TEMPERATURE ANALYSIS

... of Landsat-8 TIR to reduce errors of the en- ergy reflected from objects on the earth’s surfaces to the data recorder from surrounding environ- ment while recording data, including weather, topography, ... See full document

8

Comparative Study among Different Semi Empirical Models for Soil Salinity Prediction in an Arid Environment  Using OLI Landsat 8 Data

Comparative Study among Different Semi Empirical Models for Soil Salinity Prediction in an Arid Environment Using OLI Landsat 8 Data

... ortho-rectification using Advanced Space-borne Thermal Emis- sion and Reflection Radiometer (ASTER) DEM with 30-m pixel size and the “ Rational-Function ” model implemented in Ortho-Engine module of PCI-Geo- ... See full document

17

Comparison of Maximum Likelihood Estimators and Regression Models in Mediterranean Forests Fires for Severity Mapping Using Landsat TM and ETM+ Data

Comparison of Maximum Likelihood Estimators and Regression Models in Mediterranean Forests Fires for Severity Mapping Using Landsat TM and ETM+ Data

... time using remotely sensed spectral indices imagery from Landsat data in a Mediterranean 481. ecosystem[r] ... See full document

22

Show all 10000 documents...