Analysis of seasonal land use in Usangu wetlands, Tanzania: an object-oriented technique for multi-temporal analysis with high-resolution data

2011 ◽  
Vol 32 (7) ◽  
pp. 1885-1900 ◽  
Author(s):  
F. Canisius ◽  
H. Turral ◽  
B. P. Mbilinyi
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Object Oriented ◽  
Temporal Analysis ◽  
High Resolution Data ◽  
Multi Temporal ◽  
Resolution Data

scholarly journals HIGH-RESOLUTION TSUNAMI-BEDLOAD COUPLED COMPUTATION IN AMR ENVIRONMENT

2018 ◽  
pp. 21
Author(s):  
Yasunori Watanabe ◽  
Yuta Mitobe ◽  
Hitoshi Tanaka ◽  
Kazuya Watanabe
Keyword(s):  
Boundary Layer ◽  
Land Use ◽  
High Resolution ◽  
Boundary Layer Theory ◽  
Wall Roughness ◽  
Pressure Reduction ◽  
High Resolution Data ◽  
Public Facilities ◽  
Elevation Data ◽  
Resolution Data

Conventional tsunami computations on coarser grids have employed Manning’s friction coefficients of subgrid equivalent roughness for buildings, vegetation and public facilities (roads, dikes and so on), depending on land-use at the grid location. This equivalent roughness macroscopically models to integrate all effects of resistances against the flow within the computational cells; that is, drag force and pressure reduction behind structures in addition to wall roughness defined in turbulent boundary layer theory. Recently high-resolution land elevation data (2-m resolution), measured by an aerial laser profiler, has been used for computing local inundation of tsunami flood. Since the high-resolution data resolves major buildings and facilities, the mechanical contributions of the structures, such as drag and pressure reduction, are included in the computed result. In this case, conventional equivalent friction may be unacceptable to use.

scholarly journals Object oriented classification of high resolution data for inventory of horticultural crops

2014 ◽  
Vol XL-8 ◽  
pp. 745-749 ◽  
Author(s):  
R. Hebbar ◽  
H. M. Ravishankar ◽  
S Trivedi ◽  
S. R. Subramoniam ◽  
R. Uday ◽  
...  
Keyword(s):  
Feature Extraction ◽  
High Resolution ◽  
Object Oriented ◽  
High Resolution Data ◽  
Horticultural Crops ◽  
Object Oriented Approach ◽  
Plantation Crops ◽  
Extraction Model ◽  
Resolution Data

High resolution satellite images are associated with large variance and thus, per pixel classifiers often result in poor accuracy especially in delineation of horticultural crops. In this context, object oriented techniques are powerful and promising methods for classification. In the present study, a semi-automatic object oriented feature extraction model has been used for delineation of horticultural fruit and plantation crops using Erdas Objective Imagine. Multi-resolution data from Resourcesat LISS-IV and Cartosat-1 have been used as source data in the feature extraction model. Spectral and textural information along with NDVI were used as inputs for generation of Spectral Feature Probability (SFP) layers using sample training pixels. The SFP layers were then converted into raster objects using threshold and clump function resulting in pixel probability layer. A set of raster and vector operators was employed in the subsequent steps for generating thematic layer in the vector format. This semi-automatic feature extraction model was employed for classification of major fruit and plantations crops viz., mango, banana, citrus, coffee and coconut grown under different agro-climatic conditions. In general, the classification accuracy of about 75–80 per cent was achieved for these crops using object based classification alone and the same was further improved using minimal visual editing of misclassified areas. A comparison of on-screen visual interpretation with object oriented approach showed good agreement. It was observed that old and mature plantations were classified more accurately while young and recently planted ones (3 years or less) showed poor classification accuracy due to mixed spectral signature, wider spacing and poor stands of plantations. The results indicated the potential use of object oriented approach for classification of high resolution data for delineation of horticultural fruit and plantation crops. The present methodology is applicable at local levels and future development is focused on up-scaling the methodology for generation of fruit and plantation crop maps at regional and national level which is important for creation of database for overall horticultural crop development.

scholarly journals Using High‐Resolution Data to Assess Land Use Impact on Nitrate Dynamics in East African Tropical Montane Catchments

2018 ◽  
Vol 54 (3) ◽  
pp. 1812-1830 ◽  
Author(s):  
Suzanne R. Jacobs ◽  
Björn Weeser ◽  
Alphonce C. Guzha ◽  
Mariana C. Rufino ◽  
Klaus Butterbach‐Bahl ◽  
...  
Keyword(s):  
Land Use ◽  
High Resolution ◽  
East African ◽  
High Resolution Data ◽  
Land Use Impact ◽  
Resolution Data

scholarly journals HANZE: a pan-European database of exposure to natural hazards and damaging historical floods since 1870

2018 ◽  
Vol 10 (1) ◽  
pp. 565-581 ◽  
Author(s):  
Dominik Paprotny ◽  
Oswaldo Morales-Nápoles ◽  
Sebastiaan N. Jonkman
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Natural Hazards ◽  
Economic Change ◽  
Historical Analysis ◽  
Rule Based ◽  
High Resolution Data ◽  
Historical Changes ◽  
European Database ◽  
Resolution Data

Abstract. The influence of social and economic change on the consequences of natural hazards has been a matter of much interest recently. However, there is a lack of comprehensive, high-resolution data on historical changes in land use, population, or assets available to study this topic. Here, we present the Historical Analysis of Natural Hazards in Europe (HANZE) database, which contains two parts: (1) HANZE-Exposure with maps for 37 countries and territories from 1870 to 2020 in 100 m resolution and (2) HANZE-Events, a compilation of past disasters with information on dates, locations, and losses, currently limited to floods only. The database was constructed using high-resolution maps of present land use and population, a large compilation of historical statistics, and relatively simple disaggregation techniques and rule-based land use reallocation schemes. Data encompassed in HANZE allow one to "normalize" information on losses due to natural hazards by taking into account inflation as well as changes in population, production, and wealth. This database of past events currently contains 1564 records (1870–2016) of flash, river, coastal, and compound floods. The HANZE database is freely available at https://data.4tu.nl/repository/collection:HANZE.

scholarly journals HANZE: a pan-European database of exposure to natural hazards and damaging historical floods since 1870

2017 ◽  
Author(s):  
Dominik Paprotny ◽  
Oswaldo Morales-Nápoles ◽  
Sebastiaan N. Jonkman
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Natural Hazards ◽  
Economic Change ◽  
Historical Analysis ◽  
Rule Based ◽  
High Resolution Data ◽  
Historical Changes ◽  
European Database ◽  
Resolution Data

Abstract. The influence of social and economic change on the consequences of natural hazards has been a matter of much interest recently. However, there is a lack of comprehensive, high-resolution data on historical changes in land use, population or Historical Analysis of Natural Hazards in Europe, which contains two parts: (1) HANZE-Exposure with maps for 37 countries and territories from 1870 to 2020 in 100 m resolution and (2) HANZE-Events, a compilation of past disasters with information on dates, locations and losses, currently limited to floods only. The database was constructed using high-resolution maps of present land use and population, a large compilation of historical statistics, and relatively disaggregation techniques and rule-based land-use reallocation schemes. Data encompassed in HANZE allow to normalize information on losses due to natural hazards by taking into account inflation as well as changes in population, production and wealth. Database of past events currently contains 1564 records (1870–2016) of flash, river, coastal and compound floods. HANZE database is freely available at https://doi.org/10.4121/collection:HANZE.

scholarly journals TOWARDS THE MODELING OF GLACIER MICROTOPOGRAPHY USING HIGH-RESOLUTION DATA FROM UNMANNED AERIAL SURVEY

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 1065-1071
Author(s):  
I. V. Florinsky ◽  
T. N. Skrypitsyna ◽  
D. P. Bliakharskii ◽  
O. T. Ishalina ◽  
A. S. Kiseleva
Keyword(s):  
High Resolution ◽  
Aerial Survey ◽  
Aerial Images ◽  
Unmanned Aerial Systems ◽  
Significant Shift ◽  
High Resolution Data ◽  
Modeling And Analysis ◽  
Multi Temporal ◽  
Very High ◽  
Resolution Data

Abstract. Glaciated areas are important targets for interdisciplinary research. In the last quarter of the 20th century, there has been a significant shift in glacier observation approaches from direct fieldwork to remote sensing. Over the past 15 years, unmanned aerial systems have been increasingly used for this purpose. In this article, we briefly describe a newly launched Russian–Chinese project aimed at developing a theory and methodology for digital modeling and analysis of the glacier microtopography using very high resolution data from unmanned aerial surveys. We argue the relevance of the study and review key publications on the application of digital terrain modeling and geomorphometry in glaciology. Next, we discuss the aim of the project and tasks performed by the Russian side, as well as materials and methods used in the study. As initial data, we use multi-temporal, digital aerial images of very high resolution (5 cm) collected by the unmanned aerial survey of the ice sheet and glaciers near the Larsemann Hills, East Antarctic. Finally, we present some examples for geomorphometric analysis of glacier microtopography including snow/ice features of eolian origin.

scholarly journals Hyperspectral Data for Land use/Land cover classification

2014 ◽  
Vol XL-8 ◽  
pp. 991-995 ◽  
Author(s):  
D. Vijayan ◽  
G. Ravi Shankar ◽  
T. Ravi Shankar
Keyword(s):  
Land Use ◽  
High Resolution ◽  
Land Cover ◽  
Classification Systems ◽  
Land Use Land Cover ◽  
High Resolution Data ◽  
Liss Iii ◽  
Hyperion Image ◽  
Resolution Data

An attempt has been made to compare the multispectral Resourcesat-2 LISS III and Hyperion image for the selected area at sub class level classes of major land use/ land cover. On-screen interpretation of LISS III (resolution 23.5 m) was compared with Spectral Angle Mapping (SAM) classification of Hyperion (resolution 30m). Results of the preliminary interpretation of both images showed that features like fallow, built up and wasteland classes in Hyperion image are clearer than LISS-III and Hyperion is comparable with any high resolution data. Even canopy types of vegetation classes, aquatic vegetation and aquatic systems are distinct in Hyperion data. Accuracy assessment of SAM classification of Hyperion compared with the common classification systems followed for LISS III there was no much significant difference between the two. However, more number of vegetation classes could be classified in SAM. There is a misinterpretation of built up and fallow classes in SAM. The advantages of Hyperion over visual interpretation are the differentiation of the type of crop canopy and also crop stage could be confirmed with the spectral signature. The Red edge phenomenon was found for different canopy type of the study area and it clearly differentiated the stage of vegetation, which was verified with high resolution image. Hyperion image for a specific area is on par with high resolution data along with LISS III data.

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