Geospatial Information Requirements of the Objective Force

In South Africa the ultimate goal in water quality management is to keep the water resources suitable for all “beneficial uses”. Beneficial uses provides a basis for the derivation of water quality guidelines, which, for South Africa, are defined in Water quality guidelines for the South African coastal zone (DWAF, 1991). The CSIR has developed a practical approach to marine water quality management, taking into account international trends and local experience, which can be applied to any coastal development with potential influence on water quality. The management plan is divided into three logical components, i.e. • site-specific statutory requirements and environmental objectives; • system design with specific reference to influences on water quality; and • monitoring programmes. Within this management approach water quality issues are addressed in a holistic manner, through focused procedures and clear identification of information requirements. This paper describes the procedures and information requirements within each component of the water quality management plan, with specific reference to marine disposal systems. Ideally, the management plan should be implemented from the feasibility and conceptual design phase of a development and the timing of the different procedures within the development process are therefore also highlighted. However, the logical lay-out of procedures allows for easy initiation (even to existing disposal system) at any stage of development.

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Geospatial information informs bonobo conservation efforts

10.1093/oso/9780198728511.003.0017 ◽

2018 ◽

Author(s):

Janet Nackoney ◽

Jena Hickey ◽

David Williams ◽

Charly Facheux ◽

Takeshi Furuichi ◽

...

Keyword(s):

Spatial Data ◽

Pan Paniscus ◽

Democratic Republic Of Congo ◽

Conservation Strategies ◽

Suitable Habitat ◽

Community Based ◽

Geospatial Information ◽

République Démocratique Du Congo ◽

Nous Montrons ◽

Dynamic Conservation

The endangered bonobo (Pan paniscus), endemic to the Democratic Republic of Congo (DRC), is threatened by hunting and habitat loss. Two recent wars and ongoing conflicts in the DRC greatly challenge conservation efforts. This chapter demonstrates how spatial data and maps are used for monitoring threats and prioritizing locations to safeguard bonobo habitat, including identifying areas of highest conservation value to bonobos and collaboratively mapping community-based natural resource management (CBNRM) zones for reducing deforestation in key corridor areas. We also highlight the development of a range-wide model that analysed a variety of biotic and abiotic variables in conjunction with bonobo nest data to map suitable habitat. Approximately 28 per cent of the range was predicted suitable; of that, about 27.5 per cent was located in official protected areas. These examples highlight the importance of employing spatial data and models to support the development of dynamic conservation strategies that will help strengthen bonobo protection. Le bonobo en voie de disparition (Pan paniscus), endémique à la République Démocratique du Congo (DRC), est menacé par la chasse et la perte de l’habitat. Deux guerres récentes et les conflits en cours dans le DRC menacent les efforts de conservation. Ici, nous montrons comment les données spatiales et les cartes sont utilisées pour surveiller les menaces et prioriser les espaces pour protéger l’habitat bonobo, inclut identifier les zones de plus haute valeur de conservation aux bonobos. En plus, la déforestation est réduite par une cartographie collaborative communale de gestion de ressources dans les zones de couloirs essentiels. Nous soulignons le développement d’un modèle de toute la gamme qui a analysé un variété de variables biotiques et abiotiques en conjonction avec les données de nid bonobo pour tracer la carte d’un habitat adéquat. Environ 28 per cent de la gamme est prédit adéquat; de cela, environ 27.5 per cent est dans une zone officiellement protégée. Ces exemples soulignent l’importance d’utiliser les données spatiales et les modèles pour soutenir le développement de stratégies de conservations dynamiques qui aideront à renforcer la protection des bonobos.

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A Tri-Band Cooled Receiver for Geodetic VLBI

Sensors ◽

10.3390/s21082662 ◽

2021 ◽

Vol 21 (8) ◽

pp. 2662

Author(s):

José A. López-Pérez ◽

Félix Tercero-Martínez ◽

José M. Serna-Puente ◽

Beatriz Vaquero-Jiménez ◽

María Patino-Esteban ◽

...

Keyword(s):

Very Long Baseline Interferometry ◽

Low Noise ◽

Cryogenic Temperatures ◽

Geospatial Information ◽

Receiver Noise ◽

Geodetic Vlbi ◽

Long Baseline ◽

Front End ◽

X Band ◽

Santa Maria

This paper shows a simultaneous tri-band (S: 2.2–2.7 GHz, X: 7.5–9 GHz and Ka: 28–33 GHz) low-noise cryogenic receiver for geodetic Very Long Baseline Interferometry (geo-VLBI) which has been developed at Yebes Observatory laboratories in Spain. A special feature is that the whole receiver front-end is fully coolable down to cryogenic temperatures to minimize receiver noise. It was installed in the first radio telescope of the Red Atlántica de Estaciones Geodinámicas y Espaciales (RAEGE) project, which is located in Yebes Observatory, in the frame of the VLBI Global Observing System (VGOS). After this, the receiver was borrowed by the Norwegian Mapping Autorithy (NMA) for the commissioning of two VGOS radiotelescopes in Svalbard (Norway). A second identical receiver was built for the Ishioka VGOS station of the Geospatial Information Authority (GSI) of Japan, and a third one for the second RAEGE VGOS station, located in Santa María (Açores Archipelago, Portugal). The average receiver noise temperatures are 21, 23, and 25 Kelvin and the measured antenna efficiencies are 70%, 75%, and 60% in S-band, X-band, and Ka-band, respectively.

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