scholarly journals The Red Edge Problem in asteroid band parameter analysis

2016 ◽  
Vol 51 (4) ◽  
pp. 806-817 ◽  
Author(s):  
Sean S. Lindsay ◽  
Tasha L. Dunn ◽  
Joshua P. Emery ◽  
Neil E. Bowles
Keyword(s):  
Parameter Analysis ◽  
Red Edge ◽  
Band Parameter ◽  
Edge Problem

Method application of optimal multi-parameter analysis to assess the distribution of water masses as an example of CTD data of the Barents Sea in summer 2017

2019 ◽  
pp. 38-51
Author(s):  
Valeriy G. Yakubenko ◽  
Anna L. Chultsova
Keyword(s):  
Barents Sea ◽  
Field Measurements ◽  
Structural Similarity ◽  
Water Masses ◽  
Parameter Analysis ◽  
Water Dynamics ◽  
Phosphorus Concentration ◽  
Nitrogen And Phosphorus ◽  
The Barents Sea ◽  
Expert Assessments

Identification of water masses in areas with complex water dynamics is a complex task, which is usually solved by the method of expert assessments. In this paper, it is proposed to use a formal procedure based on the application of the method of optimal multiparametric analysis (OMP analysis). The data of field measurements obtained in the 68th cruise of the R/V “Academician Mstislav Keldysh” in the summer of 2017 in the Barents Sea on the distribution of temperature, salinity, oxygen, silicates, nitrogen, and phosphorus concentration are used as a data for research. A comparison of the results with data on the distribution of water masses in literature based on expert assessments (Oziel et al., 2017), allows us to conclude about their close structural similarity. Some differences are related to spatial and temporal shifts of measurements. This indicates the feasibility of using the OMP analysis technique in oceanological studies to obtain quantitative data on the spatial distribution of different water masses.

Study of vegetation red edge indices of reflectance spectra for crops of winter wheat cultivated in the steppe zone of Ukraine

2012 ◽  
Vol 18 (4(77)) ◽  
pp. 45-51
Author(s):  
G.M. Zholobak ◽  
◽  
Z.M. Shportiuk ◽  
O.N. Sibirtseva ◽  
S.S. Dugin ◽  
...  
Keyword(s):  
Winter Wheat ◽  
Steppe Zone ◽  
Reflectance Spectra ◽  
Red Edge

A Basic Study of Parameter Analysis and Adaptation of Cuckoo Search

2015 ◽  
Vol 135 (6) ◽  
pp. 721-722 ◽  
Author(s):  
Wataru Kumagai ◽  
Kenichi Tamura ◽  
Junichi Tsuchiya ◽  
Keiichiro Yasuda
Keyword(s):  
Cuckoo Search ◽  
Parameter Analysis ◽  
Basic Study

ANALYSIS OF FLOOD PRONE AREAS IN NAGAN RAYA REGENCY ACEH PROVINCE

2020 ◽  
Vol 5 (1) ◽  
pp. 414
Author(s):  
Amsar Yunan
Keyword(s):  
Land Use ◽  
Spatial Data ◽  
Flood Hazard ◽  
Parameter Analysis ◽  
Thematic Maps ◽  
Aceh Province ◽  
Object Area ◽  
Use Factors ◽  
Hazard Levels ◽  
Flood Prone Areas

Maps or remote sensing can be interpreted as the process of reading using various sensors where data collected remotely can be analyzed to obtain information about the object, area or phenomenon. In this study, the author develops a flood disaster mapping information system applying overlays with scoring between the parameters. The determinant factors to provide flood hazard levels includes rainfall factors in the dasarian unit, land-use factors and land-use arbitrary factors. Of all these parameters, a scoring process will be carried out by assigning weights and values according to their respective classifications, then an overlay process will be performed using ArcGIS software. The author conducted this study in Nagan Raya Regency since this area experiences flooding annually.  Framing a thematic map of flood-prone areas in Nagan Raya Regency was designed using the flood hazard method. Spatial data that has been presented in the form of thematic maps as parameters are land use maps, landform maps, and dasarian rainfall maps (per 10 daily). The design of thematic maps that are prone to flooding is done by overlapping (overlay process). In contrast, the determination of the classification is done by adding scores to each parameter, with low, medium and high hazard levels. Parameter analysis shows the level of flood vulnerability in Nagan Raya Regency of each district, namely Beutong: high 0.21%, medium 13.68%, low 86.12%. Seunagan District: high 51.17%, medium 48.83%, low 0%. Seunagan Timur District: high 10.07%, medium 46.18%, low 43.75%. Kuala Subdistrict: high 29.66%, medium 68.99%, low 1.35%. Darul Makmur District: high 8.57%, medium 63.37%, low 28.06%. From the overall results of the study, it can be concluded that the danger of flooding in Nagan Raya Regency with a level of vulnerability: high 9.92%, moderate 42.65% and low 47.43%.

PENILAIAN KESEHATAN TERUMBU KARANG MENGGUNAKAN CITRA SATELIT WORLDVIEW-2 DI PULAU PAHAWANG, LAMPUNG, INDONESIA

2018 ◽  
Vol 2 ◽  
pp. 125
Author(s):  
Lukman Hakim
Keyword(s):  
Error Estimation ◽  
Standard Error ◽  
Red Edge ◽  
Standard Error Estimation

<p>Perairan laut Lampung sebagai bagian kecil dari ekosistem terumbu karang Indonesia terindikasi memiliki tren penurunan kualitas karena aktivitas pelayaran dan pariwisata yang ekstensif khususnya di Pulau Pahawang. Kontrol kondisi terumbu karang pada wilayah ini menjadi kegiatan vital dalam rangkaian konservasi sumber daya laut. Sayangnya, pemetaan kesehatan terumbu karang memerlukan survei detail yang memakan banyak waktu, biaya, dan tenaga. Citra sebagai produk data penginderaan jauh hadir sebagai solusi monitoring terumbu karang secara cepat, murah, dan dalam jangkauan wilayah yang relatif luas. Tujuan dari penelitian ini adalah untuk memetakan kesehatan terumbu karang melalui citra WorldView-2 (WV-2) serta menguji akurasi peta yang dihasilkan. Metode yang digunakan untuk memetakan kesehatan terumbu karang adalah transformasi nilai <em>pixel</em> pada <em>band-band</em> WV-2 menjadi nilai original objek dengan urutan: 1) koreksi atmosfer (<em>Top of Atmospheric Reflectance)</em>, 2) koreksi kilap air (<em>sun glint</em>), dan 3) koreksi kolom air (metode <em>lyzenga</em>) menghasilkan 15 <em>band</em> DII (<em>depth invariant bottom index</em>). Kelima belas <em>band</em> DII tersebut diubah menjadi nilai kesehatan terumbu karang dengan cara regresi antara nilai <em>pixel</em> pada <em>band</em> DII dengan nilai rasio kesehatan terumbu karang aktual yang diperoleh dari proses kalkulasi acak titik foto transek di lapangan. Tiga tipe regresi (linier, eksponen, dan polinomial) dilakukan untuk melihat persamaan terbaik yang bisa digunakan untuk mentransformasi nilai <em>pixel</em> ke nilai kesehatan terumbu karang. Persamaan terbaik kemudian diimplementasikan menjadi model kesehatan terumbu karang untuk kemudian diuji akurasi menggunakan metode <em>Standard Error Estimation</em>. Hasil terbaik diperoleh pada regresi antara rasio kesehatan terumbu karang dengan <em>b</em><em>and</em> DII <em>Coastal Red-Edge</em> dengan koefisien determinasi (R<sup>2</sup>) sebesar 0,6553 dan akurasi pemetaan sebesar 70,191%. Nilai tersebut menunjukan bahwa citra WV-2 memiliki potensi untuk menjadi instrumen monitoring ekosistem marine yang layak.</p><p><strong>Kata Kunci: </strong>Depth Invariant Bottom Index, Kesehatan Terumbu Karang, Lyzenga, Regresi, WorldView-2<strong></strong></p>

Effect of water condition on hyperspectral and red-edge characteristics of tobacco leaf

2012 ◽  
Vol 19 (6) ◽  
pp. 1330-1335
Author(s):  
Fang-Fang JIA ◽  
Xin-Ming MA ◽  
Chun-Ming LI ◽  
Shi-Zhao LIN ◽  
Yan-Qiang LI
Keyword(s):  
Tobacco Leaf ◽  
Water Condition ◽  
Effect Of Water ◽  
Red Edge

Relational analysis of spectra and red-edge characteristics of plant leaf and leaf biochemical constituent

2010 ◽  
Vol 18 (4) ◽  
pp. 804-809 ◽  
Author(s):  
Shou-Zhen LIANG ◽  
Ping SHI ◽  
Wan-Dong MA ◽  
Qian-Guo XING ◽  
Liang-Ju YU
Keyword(s):  
Plant Leaf ◽  
Relational Analysis ◽  
Red Edge ◽  
Biochemical Constituent

Control strategy parameter analysis of parallel hybrid electric vehicles based on multiindex orthogonal experiment

2013 ◽  
Vol 32 (11) ◽  
pp. 3047-3049
Author(s):  
Guan-ci YANG ◽  
Shao-bo LI ◽  
Xiang-hong TANG ◽  
Jing-lei QU ◽  
Yong ZHONG
Keyword(s):  
Electric Vehicles ◽  
Control Strategy ◽  
Hybrid Electric Vehicles ◽  
Orthogonal Experiment ◽  
Parameter Analysis ◽  
Parallel Hybrid ◽  
Hybrid Electric

Coupled vibration model of cables and its parameter analysis

2015 ◽  
Vol 32 (3) ◽  
pp. 231
Author(s):  
Haitao Liu ◽  
Minghai Wei ◽  
Kun Lin ◽  
Yiqing Xiao
Keyword(s):  
Parameter Analysis ◽  
Coupled Vibration ◽  
Vibration Model
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