scholarly journals Estimation for forest biomass and coverage using Satellite data in small scale area, Mongolia

2019 ◽  
Vol 320 ◽  
pp. 012019 ◽  
Author(s):  
Bayanmunkh Norovsuren ◽  
Batchuluun Tseveen ◽  
Valentin Batomunkuev ◽  
Tsolmon Renchin
Keyword(s):  
Satellite Data ◽  
Forest Biomass ◽  
Small Scale

Forest biomass chain of production: Challenges of small-scale forest production in southern Brazil

2018 ◽  
Vol 174 ◽  
pp. 889-898 ◽  
Author(s):  
Flávio José Simioni ◽  
Claudio Cesar de Almeida Buschinelli ◽  
José Mauro Magalhães Ávila Paz Moreira ◽  
Bruna Mariá dos Passos ◽  
Sandy Bernardi Falcadi Tedesco Girotto
Keyword(s):  
Forest Biomass ◽  
Small Scale ◽  
Southern Brazil ◽  
Forest Production

scholarly journals Implementation of aerosol–cloud interactions in the regional atmosphere–aerosol model COSMO-MUSCAT(5.0) and evaluation using satellite data

2017 ◽  
Vol 10 (6) ◽  
pp. 2231-2246 ◽  
Author(s):  
Sudhakar Dipu ◽  
Johannes Quaas ◽  
Ralf Wolke ◽  
Jens Stoll ◽  
Andreas Mühlbauer ◽  
...  
Keyword(s):  
Satellite Data ◽  
Transport Model ◽  
Cloud Condensation Nuclei ◽  
Cloud Droplet ◽  
Atmospheric Model ◽  
Horizontal Resolution ◽  
Small Scale ◽  
Aerosol Model ◽  
Aerosol Cloud ◽  
Aerosol Cloud Interactions

Abstract. The regional atmospheric model Consortium for Small-scale Modeling (COSMO) coupled to the Multi-Scale Chemistry Aerosol Transport model (MUSCAT) is extended in this work to represent aerosol–cloud interactions. Previously, only one-way interactions (scavenging of aerosol and in-cloud chemistry) and aerosol–radiation interactions were included in this model. The new version allows for a microphysical aerosol effect on clouds. For this, we use the optional two-moment cloud microphysical scheme in COSMO and the online-computed aerosol information for cloud condensation nuclei concentrations (Cccn), replacing the constant Cccn profile. In the radiation scheme, we have implemented a droplet-size-dependent cloud optical depth, allowing now for aerosol–cloud–radiation interactions. To evaluate the models with satellite data, the Cloud Feedback Model Intercomparison Project Observation Simulator Package (COSP) has been implemented. A case study has been carried out to understand the effects of the modifications, where the modified modeling system is applied over the European domain with a horizontal resolution of 0.25°  ×  0.25°. To reduce the complexity in aerosol–cloud interactions, only warm-phase clouds are considered. We found that the online-coupled aerosol introduces significant changes for some cloud microphysical properties. The cloud effective radius shows an increase of 9.5 %, and the cloud droplet number concentration is reduced by 21.5 %.

Techno-economic analysis of forest biomass blends gasification for small-scale power production facilities in the Azores

Fuel ◽  
2020 ◽  
Vol 279 ◽  
pp. 118552 ◽  
Author(s):  
João Sousa Cardoso ◽  
Valter Silva ◽  
Daniela Eusébio ◽  
Inês Lima Azevedo ◽  
Luís A.C. Tarelho
Keyword(s):  
Economic Analysis ◽  
Forest Biomass ◽  
Power Production ◽  
Small Scale ◽  
Production Facilities

Estimating forest biomass and height using optical stereo satellite data and a DTM from laser scanning data

2013 ◽  
Vol 39 (3) ◽  
pp. 251-262 ◽  
Author(s):  
Henrik Persson ◽  
Jörgen Wallerman ◽  
Håkan Olsson ◽  
Johan E.S. Fransson
Keyword(s):  
Satellite Data ◽  
Laser Scanning ◽  
Forest Biomass

scholarly journals Combining high-resolution satellite images and altimetry to estimate the volume of small lakes

2014 ◽  
Vol 18 (5) ◽  
pp. 2007-2020 ◽  
Author(s):  
F. Baup ◽  
F. Frappart ◽  
J. Maubant
Keyword(s):  
High Resolution ◽  
Satellite Data ◽  
Satellite Images ◽  
Temporal Variations ◽  
Water Levels ◽  
Water Volume ◽  
Small Scale ◽  
Altimetry Data ◽  
Small Lakes ◽  
High Resolution Satellite Images

Abstract. This study presents an approach to determining the volume of water in small lakes (<100 ha) by combining satellite altimetry data and high-resolution (HR) images. In spite of the strong interest in monitoring surface water resources on a small scale using radar altimetry and satellite imagery, no information is available about the limits of the remote-sensing technologies for small lakes mainly used for irrigation purposes. The lake being studied is located in the south-west of France and is only used for agricultural irrigation purposes. The altimetry satellite data are provided by an RA-2 sensor onboard Envisat, and the high-resolution images (<10 m) are obtained from optical (Formosat-2) and synthetic aperture radar (SAR) antenna (Terrasar-X and Radarsat-2) satellites. The altimetry data (data are obtained every 35 days) and the HR images (77) have been available since 2003 and 2010, respectively. In situ data (for the water levels and volumes) going back to 2003 have been provided by the manager of the lake. Three independent approaches are developed to estimate the lake volume and its temporal variability. The first two approaches (HRBV and ABV) are empirical and use synchronous ground measurements of the water volume and the satellite data. The results demonstrate that altimetry and imagery can be effectively and accurately used to monitor the temporal variations of the lake (R2ABV = 0.98, RMSEABV = 5%, R2HRBV = 0.90, and RMSEABV = 7.4%), assuming a time-varying triangular shape for the shore slope of the lake (this form is well adapted since it implies a difference inferior to 2% between the theoretical volume of the lake and the one estimated from bathymetry). The third method (AHRBVC) combines altimetry (to measure the lake level) and satellite images (of the lake surface) to estimate the volume changes of the lake and produces the best results (R2AHRBVC = 0.98) of the three methods, demonstrating the potential of future Sentinel and SWOT missions to monitor small lakes and reservoirs for agricultural and irrigation applications.

scholarly journals ON THE PROBLEMS OF STUDYING FOREST BIOMASS QUALIMETRY IN EURASIA

2021 ◽  
pp. 15-24
Author(s):  
И.С. Цепордей ◽  
В.А. Усольцев
Keyword(s):  
Laser Scanning ◽  
Raw Materials ◽  
Forest Biomass ◽  
Small Scale ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Central Eurasia ◽  
Laser Sensing ◽  
Structural Indicators ◽  
Non Destructive

Нарастающие катастрофические сценарии последствий глобального потепления определяют актуальность оценки углероддепонирующей способности планетарной растительности. Поэтому исследование структуры и квалиметрии биомассы древесных и кустарниковых растений имеет важное значение. Проанализировано несколько методов неразрушающего контроля древесины, каждый из которых имеет свои ограничения, и представленный краткий их анализ может способствовать выбору вари- анта, наиболее пригодного для того или иного метода неразрушающего контроля. Дан анализ состояния проблемы квалиметрической оценки фитомассы деревьев как сырья в промышленном производстве, так и в селекционных программах. Показаны возможности квалиметрической оценки древесины путем лазерного зондирования. бортовое и наземное лазерное сканирование дает с высокой точностью характеристики структуры дерева и древостоя, которые связаны с плотностью древесины. Разработка картографических продуктов по географическим градиентам в сочетании с возможностями дистанционного зондирования локальных структурных показателей древостоев обеспечивает поддержку мелкомасштабного картографирования плотности древесины. Дана характеристика впервые составленной базы данных о квалиметрии биомассы лесообразующих пород центральной Евразии и показаны перспективы ее использования. The increasing catastrophic scenarios of the consequences of global warming determine the relevance of the assessment of the carbon-depositing ability of planetary vegetation. Therefore, the study of the structure and qualimetry of the biomass of woody and shrubby plants is important. Several methods of non- destructive testing of wood are analyzed, each of which has its own limitations, and the presented brief analysis of them can contribute to the choice of the option most suitable for a particular method of non-destructive testing. The analysis of the state of the problem of the qualimetric assessment of the tree phytomass as raw materials in industrial production and in breeding programs is given. The possibilities of qualimetric assessment of wood by laser sensing are shown. Airborne and ground-based laser scanning provides high-accuracy characteristics of the structure of the tree and the stand, which are related to the density of the wood. The development of cartographic products based on geographical gradients, combined with remote sensing capabilities of local structural indicators of stands, provides support for small-scale mapping of wood density. The characteristic of the first compiled database on the qualimetry of the biomass of forest-forming species of central Eurasia is given and the prospects for its use are shown.

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