scholarly journals DTM generation from aerial photo and Worldview-3 images by using different DSM filtering methods

Author(s):  
catur aries rokhmana ◽  
Ahmad Ridho Sastra
Keyword(s):  
1981 ◽  
Vol 5 (2) ◽  
pp. 92-96 ◽  
Author(s):  
James L. Smith ◽  
Roy A. Mead

Abstract Two aerial photo volume prediction models, Avery's Composite Aerial Volume Table, and Mead's Quadratic Model, were compared using graphs and a small independent test set. The graphs indicated that Mead's model predicted higher merchantable volumes for pine stands in central Mississippi than did Avery's model. Both models tended to underpredict ground merchantable volume. However, only Avery's model underpredicted in a statistically significant manner. Even though the possibility of negative volume predictions exists when using Mead's Quadratic Model, it was deemed the superior model of the two investigated.


Botany ◽  
2014 ◽  
Vol 92 (7) ◽  
pp. 485-493 ◽  
Author(s):  
Kristen M. Kaczynski ◽  
David J. Cooper ◽  
William R. Jacobi

Drought has caused large-scale plant mortality in ecosystems around the globe. Most diebacks have affected upland forest species. In the past two decades, a large-scale decline of riparian willows (Salix L.) has occurred in Rocky Mountain National Park, Colorado. We examined whether climatic or biotic factors drive and maintain the willow community decline. We compared annual growth and dieback of willows inside and outside of 14-year-old ungulate exclosures and measured groundwater depth and predawn xylem pressures of stems as indicators of drought stress. We also performed an aerial photo analysis to determine the temporal dynamics of the decline. Aerial photo analysis indicated willow decline occurred between 2001 and 2005 and was best explained by an increase in moose population and a decrease in peak stream flows. A new mechanism for willow stem dieback was identified, initiated by red-naped sapsucker wounding willow bark. Wounds became infected with fungus that girdled the stem. DNA analyses confirmed Valsa sordida (Cytospora chrysosperma) as the lethal fungus. Captured sapsuckers had V. sordida spores on feet and beaks identifying them as one possible vector of spread. Predawn xylem pressure potentials remained high through the growing season on all study willows regardless of depth to ground water. Our results indicate that additional mechanisms may be involved in tall willow decline.


2004 ◽  
Vol 16 (2) ◽  
Author(s):  
Sugiharto Budi Santoso

This research was carried out in Wuryantoro Watershed, Wonogiri. The goal of this study is to examine the remote sensing technology capability to obtain the physical characteristics data of watershed in the prediction of runoff coefficient using cook method. The physical characteristics is topography (relief), landcover, water storage, and infiltration. The physical characteristis is interpreted on infrared aerial photography on scale 1 : 10.000 based on element of interpretation i.e. tone, texture, size, shape, pattern, site, and association. The result of the prediction is tested by comparing them with the data of field measurement result. The accuraccy of the result of aerial photo interpretation of physical characteristics of watershed can be obtained as follows 1) the accuracy of the interpretation of landuse 88,5%; 2) the accuracy of slope interpretation 87.67%. The accuracy of prediction of the runoff coeficient 86.9%.


2019 ◽  
Vol 2 ◽  
pp. 1-6
Author(s):  
Akira Sasagawa ◽  
Shuto Sugai ◽  
Mayumi Noguchi

<p><strong>Abstract.</strong> A new algorithm of automatic change detection for update of base map is presented. In conventional method, using two different types of ortho image, such as aerial photo and satellite image, makes detection quality worse due to the difference of each contrast, brightness, color balance and so on. To obtain robust result against such difference between two images, we introduce edge-vector technique. We applied this method using two ortho images derived from each aerial photo and satellite image. We have tested our method and confirmed a performance of the change detection by the interpretation test. In this paper, the detailed algorithm and the result of interpretation test are reported.</p>


Author(s):  
Kazuo ODA ◽  
Tadashi TAKANO ◽  
Pingtao WANG ◽  
Tomoo OHGA ◽  
Takeshi DOIHARA ◽  
...  

2019 ◽  
Vol 21 (1) ◽  
pp. 53 ◽  
Author(s):  
Agung Syetiawan ◽  
Muhammad Haidar

<p align="center"><strong>ABSTRAK</strong></p><p>Beberapa tahapan penerbitan Surat Tanda Daftar Usaha Perkebunan untuk Budidaya <br /> (STD-B) yang digunakan dalam kegiatan perkebunan sawit dengan luas kurang dari 25 ha yaitu pemeriksaan lapangan dan pemetaan yang dilakukan oleh tim verifikasi lintas sektoral. Penerbitan STD-B harus melampirkan peta sebagai persyaratan dalam pendaftaran STD-B, yaitu peta yang memiliki skala 1:2.000. Untuk itu diperlukan teknologi pemetaan yang mumpuni guna memenuhi kebutuhan pemetaan tersebut. Seiring dengan kemajuan teknologi, pemetaan udara menggunakan kamera non-metrik menghasilkan tampilan permukaan bumi secara detil. Tujuan penelitian adalah mengkaji kemampuan pemetaan udara menggunakan kamera non-metrik untuk pembuatan peta sawit rakyat. Proses akuisisi pemetaan sawit rakyat dilakukan di daerah Labanan Makmur Kalimantan Timur. Proses pemetaan udara menggunakan wahana tanpa awak (WTA) <em>fixed wing</em> dengan ketinggian terbang 420 meter diatas permukaan tanah menghasilkan 186 foto dengan <em>sidelap</em> dan <em>overlap</em> foto sebesar 70% dan 80%. Proses identifikasi tanaman kelapa sawit rakyat menggunakan pendekatan <em>Object Based Image Analysis</em> (OBIA). Output akhir yaitu menghasilkan foto udara dengan nilai GSD (<em>Ground Sampling Distance</em>) sebesar 13 cm/pix. Proses pengolahan foto udara dilakukan dengan memasukkan GCP dan tanpa menggunakan GCP. Hasil evaluasi geometrik nilai akurasi horisontal dengan menggunakan GCP diperoleh akurasi sebesar 0,250 meter sementara tanpa menggunakan GCP diperoleh akurasi sebesar 4,222 meter. Dari hasil evaluasi geometrik tersebut maka foto udara dengan menggunakan GCP memenuhi ketelitian geometri untuk pembuatan peta pada skala 1: 1.000, sementara foto udara tanpa menggunakan GCP memenuhi pada skala 1: 25.000. Proses pemetaan foto udara menggunakan kamera non-metrik ditambahkan dengan pengukuran GCP bisa digunakan sebagai acuan yang digunakan untuk membuat peta lampiran pendaftaran STD-B.</p><p> </p><p align="center"><strong><em>ABSTRACT</em></strong></p><p><em>Several phases in the issuance of register for plantation cultivation used for smallholder oil palm plantation with an area of less than 25 ha are field inspection and mapping that conducted by a cross-sectoral verification team. Issuance of register for plantation cultivation must attach the map as required in scale of 1:2.000. Thus, it requires robust mapping technology to meet certain standards. Along with advances in technology, aerial photo using non-metric cameras produces detailed view of the earth's surface. The aim of the study is to examine the ability of aerial photo using non-metric cameras to map smallholder oil palm plantation. The acquisition of smallholder oil palm plantation mapping is carried out in the Labanan Makmur Village, East Kalimantan. Aerial photos acquisition used a fixed-wing UAV with a flight altitude of 420 meters above ground and produced 186 photos with sidelap and overlap of 70% and 80% respectively. </em><em>The process of identifying </em><em>smallholder oil palm plantation</em><em> used the Object Based Image Analysis (OBIA) approach. </em><em>The final output is to produce aerial photos with a value of Ground Sampling Distance (GSD) of 13 cm/pixel. Aerial photo processing is performed either by using GCPs and without GCPs. </em><em>The results of geometric evaluation of horizontal accuracy value using GCP is 0.250 meters while without using GCP is 4.222 meters. </em><em>The results of the geometric evaluation showed that aerial photo using GCP meet the accuracy requirement for map in scale of 1:1,000; whilst aerial photo not using GCP could be utilized for mapping in scale of 1:25,000. Aerial photo using a non-metric camera combined with GCPs measurements can be used as a data source used to produces</em><em> the smallholder oil palm plantation map.</em></p>


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