2

2D/3D City Modelling

• MULTI-TASK LEARNING FROM FIXED-WING UAV IMAGES FOR 2D/3D CITY MODELLING, pages 1–5

A

ASPRS

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

Above-ground Biomass

• A COMPARISON OF RANDOM FOREST AND LIGHT GRADIENT BOOSTING MACHINE FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF LANDSAT, ALOS PALSAR, AND AIRBORNE LIDAR DATA, pages 163–168

Aboveground Biomass

• BIOMASS AND CARBON STOCK ESTIMATION USING IN-SITU OBSERVATIONS AND GIS IN GILGIT BALTISTAN, PAKISTAN, pages 49–55

Adaptation New Habits

• ULIN-D: WEB-BASED GIS SUPPORTING NEW HABITS IN THE TOURISM SECTOR IN BANDUNG CITY, pages 79–82

Aerial images

• OPTIMIZING LOW-COST UAV AERIAL IMAGE MOSAICING FOR CROP GROWTH MONITORING, pages 7–12

Analytical Hierarchy Process (AHP)

• ECONOMIC ZONES SITE SELECTION IN BUTUAN CITY USING MULTI-CRITERIA DECISION-MAKING APPROACH AND GIS TECHNIQUES, pages 13–15
• EVACUATION ROUTING ASSESSMENT DURING EARTHQUAKE OCCURRENCE IN BUTUAN CITY USING GIS TECHNIQUES, pages 17–21

Approximate Driving Distance

• EVACUATING ORANGE COUNTY, CALIFORNIA, IN ABOUT ELEVEN (11) SECONDS, pages 143–147

Arctic

• COUNTING ICE-WEDGE POLYGONS FROM SPACE: USE OF COMMERCIAL SATELLITE IMAGERY TO MONITOR CHANGING ARCTIC POLYGONAL TUNDRA, pages 67–72
• OPERATIONAL-SCALE GEOAI FOR PAN-ARCTIC PERMAFROST FEATURE DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGERY, pages 175–180

Artemisia tridentata

• SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY, pages 127–132

Augmentations

• COUNTING ICE-WEDGE POLYGONS FROM SPACE: USE OF COMMERCIAL SATELLITE IMAGERY TO MONITOR CHANGING ARCTIC POLYGONAL TUNDRA, pages 67–72

accuracy

• ABSOLUTE 3D ACCURACY ASSESSMENT OF UAS LIDAR SURVEYING, pages 105–111

B

Biomass Equations

• BIOMASS AND CARBON STOCK ESTIMATION USING IN-SITU OBSERVATIONS AND GIS IN GILGIT BALTISTAN, PAKISTAN, pages 49–55

Building Extraction

• DEEP FEW-SHOT LEARNING FOR BI-TEMPORAL BUILDING CHANGE DETECTION, pages 99–103

building

• MAPPING BUILDING INTERIORS WITH LIDAR: CLASSIFYING THE POINT CLOUD WITH ARCGIS, pages 133–137

C

Calibration

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

Carbon Sequestration

• BIOMASS AND CARBON STOCK ESTIMATION USING IN-SITU OBSERVATIONS AND GIS IN GILGIT BALTISTAN, PAKISTAN, pages 49–55

Change Analysis

• LAND COVER CHANGE ANALYSIS IN THE STATE OF CALIFORNIA USING NLCD DATA, pages 95–98

Change Detection

• DEEP FEW-SHOT LEARNING FOR BI-TEMPORAL BUILDING CHANGE DETECTION, pages 99–103

Channel attention

• HYPERSPECTRAL IMAGE CLASSIFICATION USING RESIDUAL 2D AND 3D CONVOLUTIONAL NEURAL NETWORK JOINT ATTENTION MODEL, pages 187–193

Characterization

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

Classification

• MACHINE LEARNING FOR MOBILE LIDAR DATA CLASSIFICATION OF 3D ROAD ENVIRONMENT, pages 113–117

Computer vision

• IDENTIFYING OIL PADS IN HIGH SPATIAL RESOLUTION AERIAL IMAGES USING FASTER R-CNN, pages 155–161

Covid-19

• ULIN-D: WEB-BASED GIS SUPPORTING NEW HABITS IN THE TOURISM SECTOR IN BANDUNG CITY, pages 79–82

Cross-modal

• FEATURE FUSION FOR CROSS-MODAL SCENE CLASSIFICATION OF REMOTE SENSING IMAGE, pages 63–66

classification

• SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY, pages 127–132
• MAPPING BUILDING INTERIORS WITH LIDAR: CLASSIFYING THE POINT CLOUD WITH ARCGIS, pages 133–137

convolutional neural network (CNN)

• HYPERSPECTRAL IMAGE CLASSIFICATION USING RESIDUAL 2D AND 3D CONVOLUTIONAL NEURAL NETWORK JOINT ATTENTION MODEL, pages 187–193

D

DESIS

• FEATURE EXTRACTION OF DESIS AND PRISMA HYPERSPECTRAL REMOTE SENSING DATASETS FOR GEOLOGICAL APPLICATIONS, pages 169–173

Data Dimensionality Reduction

• FEATURE EXTRACTION OF DESIS AND PRISMA HYPERSPECTRAL REMOTE SENSING DATASETS FOR GEOLOGICAL APPLICATIONS, pages 169–173

Data Structures

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

Deep Learning

• ANALYSIS OF FOUR GENERATOR ARCHITECTURES OF C-GAN, LOSS FUNCTION, AND ANNOTATION METHOD FOR EPIPHYTE IDENTIFICATION, pages 149–153

Deep few-shot learning

• DEEP FEW-SHOT LEARNING FOR BI-TEMPORAL BUILDING CHANGE DETECTION, pages 99–103

Deep learning

• COUNTING ICE-WEDGE POLYGONS FROM SPACE: USE OF COMMERCIAL SATELLITE IMAGERY TO MONITOR CHANGING ARCTIC POLYGONAL TUNDRA, pages 67–72
• IDENTIFYING OIL PADS IN HIGH SPATIAL RESOLUTION AERIAL IMAGES USING FASTER R-CNN, pages 155–161
• OPERATIONAL-SCALE GEOAI FOR PAN-ARCTIC PERMAFROST FEATURE DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGERY, pages 175–180

Drones

• OPTIMIZING LOW-COST UAV AERIAL IMAGE MOSAICING FOR CROP GROWTH MONITORING, pages 7–12

deep learning

• HYPERSPECTRAL IMAGE CLASSIFICATION USING RESIDUAL 2D AND 3D CONVOLUTIONAL NEURAL NETWORK JOINT ATTENTION MODEL, pages 187–193

drones

• ABSOLUTE 3D ACCURACY ASSESSMENT OF UAS LIDAR SURVEYING, pages 105–111
• SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY, pages 127–132

E

Earthquakes

• EVACUATION ROUTING ASSESSMENT DURING EARTHQUAKE OCCURRENCE IN BUTUAN CITY USING GIS TECHNIQUES, pages 17–21

Economic Zone

• ECONOMIC ZONES SITE SELECTION IN BUTUAN CITY USING MULTI-CRITERIA DECISION-MAKING APPROACH AND GIS TECHNIQUES, pages 13–15

Energy Need

• GEOSPATIAL ASSESSMENT FOR PLANNING A SMART ENERGY CITY USING ROOFTOP SOLAR PHOTOVOLTAIC IN BANDUNG CITY, INDONESIA, pages 83–87

Environmental Science

• INTEGRATION OF REMOTE SENSING & ENVIRONMENTAL SCIENCE IN PLACED-BASED LEARNING, pages 73–78

Evacuation Routes

• EVACUATION ROUTING ASSESSMENT DURING EARTHQUAKE OCCURRENCE IN BUTUAN CITY USING GIS TECHNIQUES, pages 17–21

F

Faster R-CNN

• IDENTIFYING OIL PADS IN HIGH SPATIAL RESOLUTION AERIAL IMAGES USING FASTER R-CNN, pages 155–161

Feature Extraction

• FEATURE EXTRACTION OF DESIS AND PRISMA HYPERSPECTRAL REMOTE SENSING DATASETS FOR GEOLOGICAL APPLICATIONS, pages 169–173

Feature fusion

• FEATURE FUSION FOR CROSS-MODAL SCENE CLASSIFICATION OF REMOTE SENSING IMAGE, pages 63–66

Fixed-Wing UAV

• MULTI-TASK LEARNING FROM FIXED-WING UAV IMAGES FOR 2D/3D CITY MODELLING, pages 1–5

Flood extent

• FLOOD MONITORING USING SENTINEL-1 SAR DATA: A CASE STUDY BASED ON AN EVENT OF 2018 AND 2019 SOUTHERN PART OF KERALA, pages 37–41

Flood mapping

• FLOOD MONITORING USING SENTINEL-1 SAR DATA: A CASE STUDY BASED ON AN EVENT OF 2018 AND 2019 SOUTHERN PART OF KERALA, pages 37–41

G

GAN

• ANALYSIS OF FOUR GENERATOR ARCHITECTURES OF C-GAN, LOSS FUNCTION, AND ANNOTATION METHOD FOR EPIPHYTE IDENTIFICATION, pages 149–153

GIS

• GEOSPATIAL ASSESSMENT FOR PLANNING A SMART ENERGY CITY USING ROOFTOP SOLAR PHOTOVOLTAIC IN BANDUNG CITY, INDONESIA, pages 83–87

Gaussian Naïve Bayes

• MACHINE LEARNING FOR MOBILE LIDAR DATA CLASSIFICATION OF 3D ROAD ENVIRONMENT, pages 113–117

Generator Network

• ANALYSIS OF FOUR GENERATOR ARCHITECTURES OF C-GAN, LOSS FUNCTION, AND ANNOTATION METHOD FOR EPIPHYTE IDENTIFICATION, pages 149–153

Geographic Information System (GIS)

• ECONOMIC ZONES SITE SELECTION IN BUTUAN CITY USING MULTI-CRITERIA DECISION-MAKING APPROACH AND GIS TECHNIQUES, pages 13–15

Google Earth Engine

• LAND SURFACE TEMPERATURE AS AN INDICATOR OF URBAN HEAT ISLAND EFFECT: A GOOGLE EARTH ENGINE BASED WEB-APP, pages 57–62
• INTEGRATION OF REMOTE SENSING & ENVIRONMENTAL SCIENCE IN PLACED-BASED LEARNING, pages 73–78

Green Energy

• BUILDING ROOFTOPS EXTRACTION FOR SOLAR PV POTENTIAL ESTIMATION USING GIS-BASED METHODS, pages 119–125

H

Hazard

• FLOOD MONITORING USING SENTINEL-1 SAR DATA: A CASE STUDY BASED ON AN EVENT OF 2018 AND 2019 SOUTHERN PART OF KERALA, pages 37–41

Health Protocol

• ULIN-D: WEB-BASED GIS SUPPORTING NEW HABITS IN THE TOURISM SECTOR IN BANDUNG CITY, pages 79–82

High Performance Computing

• OPERATIONAL-SCALE GEOAI FOR PAN-ARCTIC PERMAFROST FEATURE DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGERY, pages 175–180

Hot rollling steel-mill

• MODELING ROLLERS USING TERRESTRIAL LIDAR POINTS IN A HOT-ROLLING STEEL MILL, pages 29–36

Hyperspectral

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

Hyperspectral Remote Sensing

• FEATURE EXTRACTION OF DESIS AND PRISMA HYPERSPECTRAL REMOTE SENSING DATASETS FOR GEOLOGICAL APPLICATIONS, pages 169–173

Hyperspectral image classification (HISC)

• HYPERSPECTRAL IMAGE CLASSIFICATION USING RESIDUAL 2D AND 3D CONVOLUTIONAL NEURAL NETWORK JOINT ATTENTION MODEL, pages 187–193

hyperspectral

• SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY, pages 127–132

I

IEEE Standards Association

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

Ice-wedge polygons

• COUNTING ICE-WEDGE POLYGONS FROM SPACE: USE OF COMMERCIAL SATELLITE IMAGERY TO MONITOR CHANGING ARCTIC POLYGONAL TUNDRA, pages 67–72
• OPERATIONAL-SCALE GEOAI FOR PAN-ARCTIC PERMAFROST FEATURE DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGERY, pages 175–180

Image Alignment

• OPTIMIZING LOW-COST UAV AERIAL IMAGE MOSAICING FOR CROP GROWTH MONITORING, pages 7–12

Image Processing

• BUILDING ROOFTOPS EXTRACTION FOR SOLAR PV POTENTIAL ESTIMATION USING GIS-BASED METHODS, pages 119–125

Imaging

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

IoU

• ANALYSIS OF FOUR GENERATOR ARCHITECTURES OF C-GAN, LOSS FUNCTION, AND ANNOTATION METHOD FOR EPIPHYTE IDENTIFICATION, pages 149–153

IsoData

• PERFORMANCE ASSESSMENT OF CLASSIFICATION ALGORITHMS FOR LANDUSE / LANDCOVER CHANGE USING SENTINEL 2 DATA – A CASE STUDY OF TIRUPPUR, pages 139–142

impervious surfaces

• LAND COVER CHANGE ANALYSIS IN THE STATE OF CALIFORNIA USING NLCD DATA, pages 95–98

indoor

• MAPPING BUILDING INTERIORS WITH LIDAR: CLASSIFYING THE POINT CLOUD WITH ARCGIS, pages 133–137

interior

• MAPPING BUILDING INTERIORS WITH LIDAR: CLASSIFYING THE POINT CLOUD WITH ARCGIS, pages 133–137

K

K-means

• PERFORMANCE ASSESSMENT OF CLASSIFICATION ALGORITHMS FOR LANDUSE / LANDCOVER CHANGE USING SENTINEL 2 DATA – A CASE STUDY OF TIRUPPUR, pages 139–142

L

LULC

• PERFORMANCE ASSESSMENT OF CLASSIFICATION ALGORITHMS FOR LANDUSE / LANDCOVER CHANGE USING SENTINEL 2 DATA – A CASE STUDY OF TIRUPPUR, pages 139–142

Land Surface Temperature

• LAND SURFACE TEMPERATURE AS AN INDICATOR OF URBAN HEAT ISLAND EFFECT: A GOOGLE EARTH ENGINE BASED WEB-APP, pages 57–62

Land cover

• LAND COVER CHANGE ANALYSIS IN THE STATE OF CALIFORNIA USING NLCD DATA, pages 95–98

Land use change

• SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA, pages 181–186

Landsat

• LAND SURFACE TEMPERATURE AS AN INDICATOR OF URBAN HEAT ISLAND EFFECT: A GOOGLE EARTH ENGINE BASED WEB-APP, pages 57–62

Landsat8

• BIOMASS AND CARBON STOCK ESTIMATION USING IN-SITU OBSERVATIONS AND GIS IN GILGIT BALTISTAN, PAKISTAN, pages 49–55

Landscape Metrics

• SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA, pages 181–186

LiDAR

• A COMPARISON OF RANDOM FOREST AND LIGHT GRADIENT BOOSTING MACHINE FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF LANDSAT, ALOS PALSAR, AND AIRBORNE LIDAR DATA, pages 163–168

Lidar

• MAPPING BUILDING INTERIORS WITH LIDAR: CLASSIFYING THE POINT CLOUD WITH ARCGIS, pages 133–137

Light Gradient Boosting Machine

• A COMPARISON OF RANDOM FOREST AND LIGHT GRADIENT BOOSTING MACHINE FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF LANDSAT, ALOS PALSAR, AND AIRBORNE LIDAR DATA, pages 163–168

Loss Function

• ANALYSIS OF FOUR GENERATOR ARCHITECTURES OF C-GAN, LOSS FUNCTION, AND ANNOTATION METHOD FOR EPIPHYTE IDENTIFICATION, pages 149–153

Lucknow

• SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA, pages 181–186

lidar

• TUNNEL MODELING USING MOBILE MAPPING LIDAR POINTS, pages 23–28
• ABSOLUTE 3D ACCURACY ASSESSMENT OF UAS LIDAR SURVEYING, pages 105–111

M

MODIS

• LAND SURFACE TEMPERATURE AS AN INDICATOR OF URBAN HEAT ISLAND EFFECT: A GOOGLE EARTH ENGINE BASED WEB-APP, pages 57–62

Machine Learning

• A COMPARISON OF RANDOM FOREST AND LIGHT GRADIENT BOOSTING MACHINE FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF LANDSAT, ALOS PALSAR, AND AIRBORNE LIDAR DATA, pages 163–168

Mapping

• COUNTING ICE-WEDGE POLYGONS FROM SPACE: USE OF COMMERCIAL SATELLITE IMAGERY TO MONITOR CHANGING ARCTIC POLYGONAL TUNDRA, pages 67–72

Mask R-CNN

• COUNTING ICE-WEDGE POLYGONS FROM SPACE: USE OF COMMERCIAL SATELLITE IMAGERY TO MONITOR CHANGING ARCTIC POLYGONAL TUNDRA, pages 67–72

Meta-learning

• DEEP FEW-SHOT LEARNING FOR BI-TEMPORAL BUILDING CHANGE DETECTION, pages 99–103

Metadata

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

Microwave remote sensing

• FLOOD MONITORING USING SENTINEL-1 SAR DATA: A CASE STUDY BASED ON AN EVENT OF 2018 AND 2019 SOUTHERN PART OF KERALA, pages 37–41

Minerals

• FEATURE EXTRACTION OF DESIS AND PRISMA HYPERSPECTRAL REMOTE SENSING DATASETS FOR GEOLOGICAL APPLICATIONS, pages 169–173

Mobile Laser Scanning

• MACHINE LEARNING FOR MOBILE LIDAR DATA CLASSIFICATION OF 3D ROAD ENVIRONMENT, pages 113–117

Mobile Mapping

• TUNNEL MODELING USING MOBILE MAPPING LIDAR POINTS, pages 23–28

Mosaics

• OPTIMIZING LOW-COST UAV AERIAL IMAGE MOSAICING FOR CROP GROWTH MONITORING, pages 7–12

Multi-Criteria Decision-Making Approach (MCDMA)

• ECONOMIC ZONES SITE SELECTION IN BUTUAN CITY USING MULTI-CRITERIA DECISION-MAKING APPROACH AND GIS TECHNIQUES, pages 13–15

Multi-Task Learning

• MULTI-TASK LEARNING FROM FIXED-WING UAV IMAGES FOR 2D/3D CITY MODELLING, pages 1–5

machine learning

• HYPERSPECTRAL IMAGE CLASSIFICATION USING RESIDUAL 2D AND 3D CONVOLUTIONAL NEURAL NETWORK JOINT ATTENTION MODEL, pages 187–193

maximum likelihood

• PERFORMANCE ASSESSMENT OF CLASSIFICATION ALGORITHMS FOR LANDUSE / LANDCOVER CHANGE USING SENTINEL 2 DATA – A CASE STUDY OF TIRUPPUR, pages 139–142

N

NLCD

• LAND COVER CHANGE ANALYSIS IN THE STATE OF CALIFORNIA USING NLCD DATA, pages 95–98

O

Object detection

• IDENTIFYING OIL PADS IN HIGH SPATIAL RESOLUTION AERIAL IMAGES USING FASTER R-CNN, pages 155–161

Ocean Current Power Plant

• MULTI-SCENARIO SPATIAL MODELING OF PLTAL DISTRIBUTION IN INDONESIA TO SUPPORT CLEAN AND AFFORDABLE ENERGY, pages 89–94

ocean currents

• MULTI-SCENARIO SPATIAL MODELING OF PLTAL DISTRIBUTION IN INDONESIA TO SUPPORT CLEAN AND AFFORDABLE ENERGY, pages 89–94

P

P4001

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

PRISMA

• FEATURE EXTRACTION OF DESIS AND PRISMA HYPERSPECTRAL REMOTE SENSING DATASETS FOR GEOLOGICAL APPLICATIONS, pages 169–173

Pedagogy

• INTEGRATION OF REMOTE SENSING & ENVIRONMENTAL SCIENCE IN PLACED-BASED LEARNING, pages 73–78

Permafrost

• OPERATIONAL-SCALE GEOAI FOR PAN-ARCTIC PERMAFROST FEATURE DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGERY, pages 175–180

Place-Based Education

• INTEGRATION OF REMOTE SENSING & ENVIRONMENTAL SCIENCE IN PLACED-BASED LEARNING, pages 73–78

Precision agriculture

• OPTIMIZING LOW-COST UAV AERIAL IMAGE MOSAICING FOR CROP GROWTH MONITORING, pages 7–12

Pushbroom

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

phytochemicals

• SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY, pages 127–132

point cloud

• MAPPING BUILDING INTERIORS WITH LIDAR: CLASSIFYING THE POINT CLOUD WITH ARCGIS, pages 133–137

Q

Quadratic Discernment Analysis

• MACHINE LEARNING FOR MOBILE LIDAR DATA CLASSIFICATION OF 3D ROAD ENVIRONMENT, pages 113–117

R

REDD+

• BIOMASS AND CARBON STOCK ESTIMATION USING IN-SITU OBSERVATIONS AND GIS IN GILGIT BALTISTAN, PAKISTAN, pages 49–55

Random Forest

• MACHINE LEARNING FOR MOBILE LIDAR DATA CLASSIFICATION OF 3D ROAD ENVIRONMENT, pages 113–117
• A COMPARISON OF RANDOM FOREST AND LIGHT GRADIENT BOOSTING MACHINE FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF LANDSAT, ALOS PALSAR, AND AIRBORNE LIDAR DATA, pages 163–168

Remote Sensing

• BIOMASS AND CARBON STOCK ESTIMATION USING IN-SITU OBSERVATIONS AND GIS IN GILGIT BALTISTAN, PAKISTAN, pages 49–55
• INTEGRATION OF REMOTE SENSING & ENVIRONMENTAL SCIENCE IN PLACED-BASED LEARNING, pages 73–78
• GEOSPATIAL ASSESSMENT FOR PLANNING A SMART ENERGY CITY USING ROOFTOP SOLAR PHOTOVOLTAIC IN BANDUNG CITY, INDONESIA, pages 83–87

Remote sensing

• FEATURE FUSION FOR CROSS-MODAL SCENE CLASSIFICATION OF REMOTE SENSING IMAGE, pages 63–66

Renewable energy

• GEOSPATIAL ASSESSMENT FOR PLANNING A SMART ENERGY CITY USING ROOFTOP SOLAR PHOTOVOLTAIC IN BANDUNG CITY, INDONESIA, pages 83–87

Road Networks

• EVACUATION ROUTING ASSESSMENT DURING EARTHQUAKE OCCURRENCE IN BUTUAN CITY USING GIS TECHNIQUES, pages 17–21

Rollers

• MODELING ROLLERS USING TERRESTRIAL LIDAR POINTS IN A HOT-ROLLING STEEL MILL, pages 29–36

Rooftop Solar Photovoltaic

• GEOSPATIAL ASSESSMENT FOR PLANNING A SMART ENERGY CITY USING ROOFTOP SOLAR PHOTOVOLTAIC IN BANDUNG CITY, INDONESIA, pages 83–87

Rooftops Extraction

• BUILDING ROOFTOPS EXTRACTION FOR SOLAR PV POTENTIAL ESTIMATION USING GIS-BASED METHODS, pages 119–125

remote sensing

• MULTI-SCENARIO SPATIAL MODELING OF PLTAL DISTRIBUTION IN INDONESIA TO SUPPORT CLEAN AND AFFORDABLE ENERGY, pages 89–94

renewable energy

• MULTI-SCENARIO SPATIAL MODELING OF PLTAL DISTRIBUTION IN INDONESIA TO SUPPORT CLEAN AND AFFORDABLE ENERGY, pages 89–94

S

SAMA-VTOL

• MULTI-TASK LEARNING FROM FIXED-WING UAV IMAGES FOR 2D/3D CITY MODELLING, pages 1–5

SNIP

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

SSIM

• ANALYSIS OF FOUR GENERATOR ARCHITECTURES OF C-GAN, LOSS FUNCTION, AND ANNOTATION METHOD FOR EPIPHYTE IDENTIFICATION, pages 149–153

STEM

• INTEGRATION OF REMOTE SENSING & ENVIRONMENTAL SCIENCE IN PLACED-BASED LEARNING, pages 73–78

SVM

• BUILDING ROOFTOPS EXTRACTION FOR SOLAR PV POTENTIAL ESTIMATION USING GIS-BASED METHODS, pages 119–125

Satellite imagery

• COUNTING ICE-WEDGE POLYGONS FROM SPACE: USE OF COMMERCIAL SATELLITE IMAGERY TO MONITOR CHANGING ARCTIC POLYGONAL TUNDRA, pages 67–72
• OPERATIONAL-SCALE GEOAI FOR PAN-ARCTIC PERMAFROST FEATURE DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGERY, pages 175–180

Scene classification

• FEATURE FUSION FOR CROSS-MODAL SCENE CLASSIFICATION OF REMOTE SENSING IMAGE, pages 63–66

Sentinel-2

• PERFORMANCE ASSESSMENT OF CLASSIFICATION ALGORITHMS FOR LANDUSE / LANDCOVER CHANGE USING SENTINEL 2 DATA – A CASE STUDY OF TIRUPPUR, pages 139–142

Shannon's entropy

• SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA, pages 181–186

Siamese Network

• FEATURE FUSION FOR CROSS-MODAL SCENE CLASSIFICATION OF REMOTE SENSING IMAGE, pages 63–66

Smart Energy City

• GEOSPATIAL ASSESSMENT FOR PLANNING A SMART ENERGY CITY USING ROOFTOP SOLAR PHOTOVOLTAIC IN BANDUNG CITY, INDONESIA, pages 83–87

Solar PV Potential

• BUILDING ROOFTOPS EXTRACTION FOR SOLAR PV POTENTIAL ESTIMATION USING GIS-BASED METHODS, pages 119–125

Spatial Analysis

• ULIN-D: WEB-BASED GIS SUPPORTING NEW HABITS IN THE TOURISM SECTOR IN BANDUNG CITY, pages 79–82

Spatio-temporal

• SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA, pages 181–186

Spectral NITF Implementation Profile

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

Standards

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

Suitability Analysis

• ECONOMIC ZONES SITE SELECTION IN BUTUAN CITY USING MULTI-CRITERIA DECISION-MAKING APPROACH AND GIS TECHNIQUES, pages 13–15

Suitability Map

• ECONOMIC ZONES SITE SELECTION IN BUTUAN CITY USING MULTI-CRITERIA DECISION-MAKING APPROACH AND GIS TECHNIQUES, pages 13–15

Surface urban heat island

• LAND SURFACE TEMPERATURE AS AN INDICATOR OF URBAN HEAT ISLAND EFFECT: A GOOGLE EARTH ENGINE BASED WEB-APP, pages 57–62

Sustainable Development Goals

• LAND SURFACE TEMPERATURE AS AN INDICATOR OF URBAN HEAT ISLAND EFFECT: A GOOGLE EARTH ENGINE BASED WEB-APP, pages 57–62

Synthetic Aperture Radar

• A COMPARISON OF RANDOM FOREST AND LIGHT GRADIENT BOOSTING MACHINE FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF LANDSAT, ALOS PALSAR, AND AIRBORNE LIDAR DATA, pages 163–168

Synthetic Aperture Radar (SAR)

• FLOOD MONITORING USING SENTINEL-1 SAR DATA: A CASE STUDY BASED ON AN EVENT OF 2018 AND 2019 SOUTHERN PART OF KERALA, pages 37–41

socioeconomic

• MULTI-SCENARIO SPATIAL MODELING OF PLTAL DISTRIBUTION IN INDONESIA TO SUPPORT CLEAN AND AFFORDABLE ENERGY, pages 89–94

spatial

• MULTI-SCENARIO SPATIAL MODELING OF PLTAL DISTRIBUTION IN INDONESIA TO SUPPORT CLEAN AND AFFORDABLE ENERGY, pages 89–94

support vector machines

• PERFORMANCE ASSESSMENT OF CLASSIFICATION ALGORITHMS FOR LANDUSE / LANDCOVER CHANGE USING SENTINEL 2 DATA – A CASE STUDY OF TIRUPPUR, pages 139–142

T

Terminology

• IEEE PROJECT 4001 – STANDARDS FOR CHARACTERIZATION AND CALIBRATION OF HYPERSPECTRAL IMAGING DEVICES, pages 43–47

Tourism

• ULIN-D: WEB-BASED GIS SUPPORTING NEW HABITS IN THE TOURISM SECTOR IN BANDUNG CITY, pages 79–82

Tunnel

• TUNNEL MODELING USING MOBILE MAPPING LIDAR POINTS, pages 23–28

targets

• ABSOLUTE 3D ACCURACY ASSESSMENT OF UAS LIDAR SURVEYING, pages 105–111

terrestrial lidar

• MODELING ROLLERS USING TERRESTRIAL LIDAR POINTS IN A HOT-ROLLING STEEL MILL, pages 29–36

U

UAS

• ABSOLUTE 3D ACCURACY ASSESSMENT OF UAS LIDAR SURVEYING, pages 105–111

UAV

• ABSOLUTE 3D ACCURACY ASSESSMENT OF UAS LIDAR SURVEYING, pages 105–111

Urban growth types

• SPATIO-TEMPORAL LAND USE CHANGE ANALYSIS IN DIRECTIONAL ZONES OF LUCKNOW CITY, INDIA, pages 181–186

Urbanization

• LAND COVER CHANGE ANALYSIS IN THE STATE OF CALIFORNIA USING NLCD DATA, pages 95–98

unoccupied aerial systems

• SCALING UP SAGEBRUSH CHEMISTRY WITH NEAR-INFRARED SPECTROSCOPY AND UAS-ACQUIRED HYPERSPECTRAL IMAGERY, pages 127–132

V

Vegetation Indices

• BIOMASS AND CARBON STOCK ESTIMATION USING IN-SITU OBSERVATIONS AND GIS IN GILGIT BALTISTAN, PAKISTAN, pages 49–55

Vehicle Evacuation Planning by Waypoints

• EVACUATING ORANGE COUNTY, CALIFORNIA, IN ABOUT ELEVEN (11) SECONDS, pages 143–147

Vulnerability Assessment

• EVACUATION ROUTING ASSESSMENT DURING EARTHQUAKE OCCURRENCE IN BUTUAN CITY USING GIS TECHNIQUES, pages 17–21

W

WebGIS

• ULIN-D: WEB-BASED GIS SUPPORTING NEW HABITS IN THE TOURISM SECTOR IN BANDUNG CITY, pages 79–82