GAG


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Geographia Technica, Special Issue 2021

A special Issue on Geomatics Application for Geography (GAG)

Editors: Valerio BAIOCCHI and Gino DARDANELLI



Geomatics or Geography, that is the question! This is how the authors' idea of merging Geomatics and Geography in this special issue begins, paraphrasing a Shakespearean citation. The common principle that unites these two scientific disciplines, which attempt to describe the territory in the most straightforward way possible. On the other hand, Geomatics and Geography derived from “gèo- “[greek γεω-], as first element of composed words in learned and scientific terminology, meaning “earth”, “globe”, “land surface”. [... Full introduction here]

 

Volume 16, Pages i-v and 1-210, (Special Issue 2021)

 Articles 1 - 16
1 Editorial for Special Issue: “Geomatics Application for Geography (GAG)” in Geographia Technica
Page i-v
Valerio BAIOCCHI, Gino DARDANELLI
2 4d Geomatics Monitoring of a Quarry for the Calculation of Extracted Volumes by TIN and Grid Model: Contribute of Uav Photogrammetry
Page 1-14
Massimiliano PEPE, Domenica COSTANTINO, Vincenzo Saverio ALFIO, Nicola ZANNOTTI
3 A Kalman Filter Single Point Positioning for Maritime Applications Using a Smartphone
Page 15-29
Anna INNAC, Antonio ANGRISANO, Gino DARDANELLI, Vincenzo DELLA CORTE, Elena MARTELLATO, Alessandra ROTUNDI, Giampaolo FERRAIOLI, Pasquale PALUMBO, Salvatore GAGLIONE
4 Using a Split-Window Algorithm for the Retrieval of the Land Surface Temperature Via Landsat-8 OLI/TIRS
Page 30-42
Chavarit AUNTARIN, Poramate CHUNPANG, Wutthisat CHOKKUEA, Teerawong LAOSUWAN
5 Spatio-Temporal Analysis Of Wulan Delta In Indonesia: Characteristics, Evolution, And Controlling Factors
Page 43-55
Bagus SEPTIANGGA, Bachtiar W. MUTAQIN
6 The Effects of CORS Network Geometry and Differential NRTK Corrections on GNSS Solutions
Page 56-69
Gino DARDANELLI, Claudia PIPITONE
7 Spatiotemporal Analysis of Vegetation Drought Variability in the Middle of the Northeast Region of Thailand Using TERRA/MODIS Satellite Data
Page 70-81
Nanthawat JOMSREKRAYOM, Pattanapol MEENA, Teerawong LAOSUWAN
8 Dynamic Space-Time Diffusion Simulator in a GIS Environment to Tackle the COVID-19 Emergency. Testing a Geotechnological Application in Rome
Page 82-99
Cristiano PESARESI, Davide PAVIA, Corrado DE VITO, Andrea BARBARA, Vito CERABONA, Enrico DI ROSA
9 Delineation Radar Zones of Glaciers in the Ala-Archa Valley of Kyrgyz Republic
Page 100-110
Emilbek ZHOLDOSHBEKOV, Vaibhav GARG, Praveen Kumar THAKUR, Murataly DUISHONAKUNOV, Mihai VODA
10 Identifying Suitable Sites for Rainwater Harvesting Using Runoff Model (SCS-CN), Remote Sensing and GIS Based Fuzzy Analytical Hierarchy Process (FAHP) in Kenitra Province, NW Morocco
Page 111-127
Mohamed AGHAD, Mohamed MANAOUCH, Mohamed SADIKI, Mohcine BATCHI, Jamal AL KARKOURI
11 Comparison of SENTINEL-2 and Multitemporal SENTINEL-1 SAR Imagery for Mapping Aquaculture Pond Distribution in the Coastal Region of Brebes Regency, Central Java, Indonesia
Page 128-137
Nurul Afdal HARIS, Sandiaga Swahyu KUSUMA, Sanjiwana ARJASAKUSUMA and Pramaditya WICAKSONO
12 Landslide Surface Deformation Analysis Using SBAS-InSAR in the Southern Part of the Sukabumi Area, Indonesia
Page 138-152
Muhamad Khairul ROSYIDY, Muhammad DIMYATI, Iqbal Putut Ash SHIDIQ, Faris ZULKARNAIN, Nurul Sri RAHANINGTYAS, Riza Putera SYAMSUDDIN, Farhan Makarim ZEIN
13 The Contribution of Open-Source GIS Software and Open Spatial Data for the Re-evaluation of Landslide Risk and Hazard in View of Climate Change
Page 153-162
Valerio BAIOCCHI, Felicia VATORE, Mara LOMBARDI, Felicia MONTI, Roberta ONORI
14 Correcting the Topographic Effect on SPOT-6/ 7 Multispectral Imageries: a Comparison of Different Digital Elevation Models
Page 163-179
Zylshal ZYLSHAL, Athar Abdurrahman BAYANUDDIN, Ferman Setia NUGROHO, Sutan Takdir Ali MUNAWAR
15 Assessing the Accuracy of Shallow Water Depth Estimation by Using Multispectral Satellite Images
Page 180-197
Ratna Sari DEWI, Aldino RIZALDY, Prayudha HARTANTO, Suprajaka SUPRAJAKA
16 Comparison of Different Pan-Sharpening Methods Applied to IKONOS Imagery
Page 198-210
Emanuele ALCARAS, Vincenzo DELLA CORTE, Giampaolo FERRAIOLI, Elena MARTELLATO, Pasquale PALUMBO, Claudio PARENTE, Alessandra ROTUNDI

Geographia Technica, Vol 16, Special Issue, 2021, pp. i-v

EDITORIAL FOR SPECIAL ISSUE: “GEOMATICS APPLICATION FOR GEOGRAPHY (GAG)” IN GEOGRAPHIA TECHNICA

Valerio BAIOCCHI , Gino DARDANELLI

DOI: 10.21163/GT_2021.163.16

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Geographia Technica, Vol 16, Special Issue, 2021, pp. 198-210

COMPARISON OF DIFFERENT PAN-SHARPENING METHODS APPLIED TO IKONOS IMAGERY

Emanuele ALCARAS, Vincenzo DELLA CORTE , Giampaolo FERRAIOLI , Elena MARTELLATO , Pasquale PALUMBO , Claudio PARENTE , Alessandra ROTUNDI

DOI: 10.21163/GT_2021.163.15

ABSTRACT: On board the IKONOS satellite there are sensors operating in the panchromatic and multispectral range: the geometric resolution of the acquired images is higher in the first case (1 m) than in the second one (4 m); on the contrary, panchromatic images have lower spectral resolution than the latter. Pan-sharpening methods allow to reduce the pixel dimensions of the multispectral images to comply with the panchromatic resolution. In this way, it is possible to obtain enhanced detailed data in both geometric and spectral resolution. This work aims to compare the results obtained from the application of eight different pan-sharpening methods, which are totally carried out by using the raster calculator in QGIS: Multiplicative, Simple Mean, Brovey Transformation, Brovey Transformation Fast, Intensity Hue Saturation (IHS), IHS Fast, Gram-Schmidt, and Gram-Schmidt Fast. Each resulting dataset is compared with the original one to evaluate the performance of each method by the following quality indices: Correlation Coefficient (CC), Universal Image Quality Index (UIQI), Relative Average Spectral Error (RASE), Erreur Relative Global Adimensionnelle de Synthèse (ERGAS), Spatial Correlation Coefficient (SCC) and Spatial ERGAS (SERGAS); however, this is a difficult task because the quality of the fused image depends on the considered datasets. Finally, a comparison the various between methods is carried out.


Keywords: Data fusion, Pan-sharpening, IKONOS, GIS-Application, VHR

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Geographia Technica, Vol 16, Special Issue, 2021, pp. 180-197

ASSESSING THE ACCURACY OF SHALLOW WATER DEPTH ESTIMATION BY USING MULTISPECTRAL SATELLITE IMAGES

Ratna Sari DEWI , Aldino RIZALDY, Prayudha HARTANTO , Suprajaka SUPRAJAKA

DOI: 10.21163/GT_2021.163.14

ABSTRACT: Timely and accurate bathymetry information is needed to support an effective policy on utilization and management of coastal natural resources. Satellite derived bathymetry (SDB) has been widely considered as an advanced and low-cost method for shallow water depth estimation. This is due to the availability of multi-temporal and multi-resolution satellite data. This study focuses on evaluating the accuracy of satellite derived bathymetry derived from multispectral images recorded by various sensors with various spatial resolution. The study area is located in a small island nearby Morotai Island, Indonesia. Four SDB models were compared. The implementation of the SDB model was carried out by combining echo-sounding measurements and the reflectance of blue, green, red, and near infrared bands of three satellite images (World View 2, Sentinel 2A and Landsat 8). Our findings reveal that all three satellite images performed well in assessing SDB at various spatial and spectral resolution, however, the use of high-resolution imagery did not always improve accuracy, for example when using SVM (Support Vector Machine). When using RF (Random Forest), Sentinel 2A produced the best accuracy and when using GAM (Generalized Additive Model), the most feasible result was generated only by using WorldView 2 image. In all cases, RF performed well and provided the most accurate SDB prediction.


Keywords: Bathymetry, Depth, Satellite-derived bathymetry, Multispectral images, Morotai

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Geographia Technica, Vol 16, Special Issue, 2021, pp. 163-179

CORRECTING THE TOPOGRAPHIC EFFECT ON SPOT-6/ 7 MULTISPECTRAL IMAGERIES: A COMPARISON OF DIFFERENT DIGITAL ELEVATION MODELS

Zylshal ZYLSHAL , Athar Abdurrahman BAYANUDDIN , Ferman Setia NUGROHO , Sutan Takdir Ali MUNAWAR

DOI: 10.21163/GT_2021.163.13

ABSTRACT: The topographic effect on satellite imagery has long been acknowledged and several methods have been proposed to address it. These methods mostly employ a digital elevation model to identify topographic conditions. The availability of various digital elevation models (DEMs) with different spatial resolutions prompts a thorough investigation to select suitable data for use when correcting the topographic effect on high-resolution satellite imagery. The release of Digital Elevation Model Nasional (DEMNAS) with its 8-meter spatial resolution provides a similar spatial resolution with SPOT-6/7 multispectral data (6 meters). This study presents our results for topographic correction performed using three different DEMs on orthorectified SPOT-6/7 multispectral data. These DEMs are Shuttle Radar Topography Mission (SRTM) and ALOS World 3D 30 meters (AW3D30), as well as DEMNAS. All three DEMs were resampled to match SPOT-6/7 spatial resolution (6 meters). Atmospheric correction using the MODTRAN-4 algorithm was conducted on the SPOT-6/7 multispectral images. Our study was conducted on two test sites located in the mountainous region over South Sulawesi Province, Indonesia. The Minnaert correction was chosen as the correction algorithm with the k constant calculated for each band over forest land cover. To evaluate the performance of each DEM, visual evaluation and statistical assessment were employed. Pixel values before and after topographic correction were compared over sunlit as well as shaded forest. Coefficient of variation (CV) was used as the statistical assessment tool. Our results show that AW3D30 is able to reduce the topographic effect on SPOT-6/7 multispectral images. The correlation (r) between image surface reflectance value and local illumination were reduced from 0.78 to - 0.06 for the best performer on the NIR infrared band. CV was also reduced from 24.46 to 19.02 for the same NIR band. AW3D30 performed the best without the apparent under- and over-correction produced by the two other DEMs. Tweaks and modifications are found to be necessary to resolve the under-correction encountered when using SRTM and the over-correction associated with using DEMNAS on SPOT-6/7 multispectral imagery.


Keywords: AW3D30, DEMNAS, SRTM, Minnaert correction, SPOT-6, SPOT-7

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