Understanding on long-term dynamics and glacier inventory is crucial, particularly for the melt-dominated and latitudinally-diverse western Himalayan glacier basins. Knowledge about glacier extent, dynamics and characteristics are important for climate change attribution and prediction. Progress, our goal here is to provide a starting point for the GLIMS regional centers as well as for the wider glaciological community in terms of documentation on possible pitfalls along with potential solutions. While the list of proposed methods and recommendations is not comprehensive and is still a work in This paper summarizes the major results of the 2008 GLIMS workshop, with an emphasis on definitions, methods and recommendations for satellite data processing.
GLIMS DEFINITION CODE
Special emphasis was given to establishing standard protocols for glacier delineation and analysis, creating illustrated tutorials and providing source code for available methods.
Talks presented examples and work in progress for each of these topics, and focus groups worked on compiling a summary of availableĪlgorithms and procedures to address and avoid identified hurdles. This workshop identified six themes for consideration by focus groups: (1) mapping clean iceĪnd lakes (2) mapping ice divides (3) mapping debris-covered glaciers (4) assessing changes in glacier area and elevation through comparisons with older data (5) digital elevation model (DEM) generation from satellite stereo pairs and (6) accuracy and error analysis. Where automatic delineation of glacier boundaries in satellite imagery is difficult, error prone or timeconsuming.
Despite the progress made in recent years, there still remain many cases GLIM criteria for malnutrition can be easily applied in this group of patients, but the definition of inflammation criteria should be clarified.On 16–18 June 2008 the US National Snow and Ice Data Center held a GLIMS workshop inBoulder, CO, USA, focusing on formulating procedures and best practices for operational glaciermapping using satellite imagery. This suggests that it is important to identify more efficiently patients with risk of malnutrition at an earlier stage. The prevalence of malnutrition in HNC patients enrolled to HEN is high and most of them are severely malnourished. In the model assessing the odds of severe malnutrition according to the criteria of GLIM, TLC and CRP had a statistically significant effect on the chance in the probability of qualifying a patient to the severe malnutrition group, but the strength of the results was weak. There was a positive correlation between malnutrition based on GLIM criteria, serum albumin, and CRP.
The prevalence of malnutrition based on GLIM criteria was 93.75% (15.18% moderately malnourished, 78.57% severely malnourished). Malnutrition was defined using GLIM-based criteria. The following parameters were evaluated: body mass index (BMI), percent weight loss, and laboratory tests (serum albumin, total serum protein, C-reactive protein (CRP), and total lymphocyte count (TLC)). The retrospective analysis involved 224 patients with HNC referred for HEN. The aim of the study was to determine the Global Leadership Initiative on Malnutrition (GLIM)-based stages of malnutrition and the relationship with selected biochemical parameters during the home enteral nutrition (HEN) qualification visit of patients with HNC. Nutritional care, including enteral nutrition (EN), plays a crucial role in the management of this group of patients. Patients with head and neck cancer (HNC) present multiple symptoms that increase the risk of malnutrition.
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