Investigation Character of Natural Forest Ecosystem, Use High Resolution and LiDAR Data

Ecosystem character the subject very important to investigate, the product of characterizing ecology is map of ecology area, type, vegetation structure. Where vegetation zone it will influence the habitat of biota. To extract the information have used multi data of multi sensor to rising up quality and information. The method used in this research is imagery transformation, OBIA classification, compilation data. The imagery classification to detecting ecology is OBIA technic have used to mapping land cover type, LIDAR analyst and. Compilation data have rising up the quality information of ecology zone. In the research we have find the ecology zone have many difference character, the character it has showing by the vegetation high, fraction vegetation. All of the point has showing the habitat, and the possible to measure the home base to migration and area to protecting the biota. The compilation data include geo- physic data has support the quality and result. In the end the geo- physic data divide the forest ecosystem zone to more detail and set vegetation in class and sub class such as natural forest ecosystem zone. Keywords: Ecology, Habitat, Remote Sensing

PEMANFAATAN NETWORK ANALYSIS DALAM MENGIDENTIFIKASI OBJEK WISATA BUDAYA DI KABUPATEN TANAH DATAR (Utilization of Network Analysis in Identifying Culture Tourism Object in Tanah Datar District)

Abstrak – Potensi pariwisata Indonesia sangatlah besar dari Sabang sampai Merauke dengan segala macam obyek pariwisata, yang kesemuanya itu diharapkan mampu menarik lebih banyak lagi devisa negara, baik dari wisatawan dalam negeri maupun wisatawan luar negara. Pendekatan sistem informasi geografis mampu memetakkan persebaran lokasi objek wisata serta melakukan analisis jarak antar lokasi wisata. Data yang digunakan dalam analisis lokasi wisata melalui pendekatan survei lapangan lalu dihubungkan dengan jaringan jalan. Dimana titik koordinat dari lokasi objek wisata budaya diolah menggunakan metode Network Analysis yang berguna menentukan lokasi objek wisata budaya dan jarak terdekat antar objek wisata budaya dari kota Batusangkar di Kabupaten Tanah Datar. Dalam peneitian ini kami mengambil 11 titik sampel objek wisata budaya yang ada di Kabupaten Tanah datar dan dilindungi oleh undang undang. Hasil yang diperoleh berupa peta sebaran objek wisata budaya dan jarak terdekat antar objek wisata budaya yang ada di Kabupaten Tanah Data

Spatial Planning of Tourism with Geographic Information System Technology with Distance of Accessibility

Indonesia is one of much country have a rich natural resources. Be it marine or natural resources. One of natural resources in the land, natural resources in from of Forest Ecosystems. Forest ecosystems can employ for tourism based Agroforest and Biodiversity. To Analysis tourism development can use Geographic Information System (GIS). Pauh Subdistrict, Padang City is a region have a forest potential can to make to spatial tourism based Agroforest and Biodiversity because have a rich resources include a flora and fauna with beautiful landscape. This research aims to analysis of development of tourism in Pauh Subdistrict, Padang City based Geographic Information System (GIS) include of development, Tourism location and give an information tourism of a map tourism development. The method in this research used a Ground Check to get a coordinate location of tourism object. Andthen analysis data on Ground Check used Geographic Information System (GIS). This research result and can explain  Geographic Information System (GIS) can be applied to Analysis Tourism, example location and wide of development tourism area in Pauh Subdistrict, Padang City specially in map result information for tourist and distance from stree

Flood Hazard Level Study in the Batang Hari Watershed Area in Pulau Punjung District, Dharmasraya Regency, West Sumatera

This research originated from a flood that often hit the Batang Hari watershed in Pulau Punjung District, Dharmasraya Regency. This study aims to analyze the land characteristics and the level of flood hazard in Pulau Punjung District, Dharmasraya Regency. This research includes descriptive quantitative, the method used is the survey method and sample area. The mapping unit used is the land unit obtained from overlaying the map of landform, slope and land use. The area of the study sample was taken by stratified random sampling. The results showed that 1) the characteristics of the land in the trunk watershed area in Pulau Punjung sub-district had a denudational, fluvial, karst and volcanic land, slope of 0-8%, 8-15%, 25-40% of land use for settlements, rice fields, scrub, plantation, forest. 2) the level of flood hazard in the study area consists of three zones, namely (a) low flood hazard zone which is 33,322 ha (75.19%), (b) moderate flood hazard zone which is 8,397 ha (18.95%) , (c) high flood hazard zone which is 2,597 ha (5.86%)

Use of spectral reflectance from a compact spectrometer to assess chlorophyll content in Zizania latifolia

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Use of spectral reflectance from a compact spectrometer to assess chlorophyll content in Zizania latifolia

Hyperspectral remote sensing is frequently used to monitor chlorophyll content, an important characteristic for assessing photosynthetic ability, health and defence against a variety of degenerative diseases. To obtain hyperspectral data, field portable spectroradiometers, such as Ocean Optics Hyperspectral Vis-NIR spectroradiometers and Analytical Spectral Devices FieldSpec series, have been widely used. The development of an affordable hyperspectral remote sensing system would be advantageous. Highly sensitive, affordable and cost-effective finger-tip size spectrometers have recently been released. In this study we investigate the potential of hyperspectral data obtained from such a compact spectrometer (C12880MA-10, Hamamatsu Photonics) for estimating chlorophyll content in Zizania latifolia. We also tested the efficacy of five pre-processing techniques (first derivative reflectance, continuum-removal transformation, de-trending, multiplicative scatter correction and standard normal variate) in conjunction with five machine learning algorithms

Evaluation of a One-Dimensional Convolution Neural Network for Chlorophyll Content Estimation Using a Compact Spectrometer

Leaf chlorophyll content is used as a major indicator of plant stress and growth, and hyperspectral remote sensing is frequently used to monitor the chlorophyll content. Hyperspectral reflectance has been used to evaluate vegetation properties such as pigment content, plant structure and physiological features using portable spectroradiometers. However, the prices of these devices have not yet decreased to consumer-affordable levels, which prevents widespread use. In this study, a system based on a cost-effective fingertip-sized spectrometer (Colorcompass-LF, a total price for the proposed solution was approximately 1600 USD) was evaluated for its ability to estimate the chlorophyll contents of radish and wasabi leaves and was compared with the Analytical Spectral Devices FieldSpec4. The chlorophyll contents per leaf area (cm2) of radish were generally higher than those of wasabi and ranged from 42.20 to 94.39 μg/cm2 and 11.39 to 40.40 μg/cm2 for radish and wasabi, respectively. The chlorophyll content was estimated using regression models based on a one-dimensional convolutional neural network (1D-CNN) that was generated after the original reflectance from the spectrometer measurements was de-noised. The results from an independent validation dataset confirmed the good performance of the Colorcompass-LF after spectral correction using a second-degree polynomial, and very similar estimation accuracies were obtained for the measurements from the FieldSpec4. The coefficients of determination of the regression models based on 1D-CNN were almost same (with R2 = 0.94) and the ratios of performance to deviation based on reflectance after spectral correction using a second-degree polynomial for the Colorcompass-LF and the FieldSpec4 were 4.31 and 4.33, respectively

Evaluation of a One-Dimensional Convolution Neural Network for Chlorophyll Content Estimation Using a Compact Spectrometer

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Investigation Volcanic Land Form and Mapping Landslide Potential at Mount Talang

The survey geomorphology, it is the one apart of applied geomorphology. In case has done investigation character of geomorphological landscape of Mount Talang and mapping of landslide hazard potential. In this research has used some method, the first field observation and sampling for geomorphology character study were conducted. Second the mapping landslide hazard used method the MAFF Japan where integrating physical field data and spatial data using geographic information system. The results of this study where found some volcanic morphology, volcanic cones, upper slopes, middle slope, lower slopes, foot slope, and volcanic plain. The landslide hazard, where involving sources of observation and sampling for the study of geomorphological characters. From the research has found the landslide hazard in four zone, zone (I) land stable and low hazard potential large 9 ha, zone (II) land enough stable and middle hazard potential large 12.295 ha, zone (III) land less stable and high hazard potential large 1.118 ha, and Zone (IV) land unstable and highest hazard potential 0.1 ha. The typical of geomorphology, morphometry, and land use it has really influence to landslide potential to landslide hazard