Relación precipitación-escorrentía y número de curva bajo diferentes condiciones de uso del suelo: : cuenca modal del sistema serrano de La Ventana, Argentina

La metodología del número de la curva (NC) es la más empleada para transformar la precipitación total en precipitación efectiva. De esta manera se constituye en una herramienta de gran valor para realizar estudios hidrológicos en cuencas hidrográficas, fundamentalmente cuando hay una deficiencia de registros extensos y confiables. Esta metodología requiere del conocimiento del tipo y uso de suelo de la cuenca en estudio y registros pluviográficos. En el presente trabajo se aplicó el procesamiento de imágenes LANDSAT para la zonificación de la vegetación y uso del suelo en la cuenca del Arroyo Pillahuinco Grande (38° LS y 61° 15' LW), ubicada sobre el sistema serrano de La Ventana, en el sudoeste de la provincia de Buenos Aires, Argentina. El análisis de su interrelación generó los valores de NC y coeficiente de escorrentía (CE). El procesamiento digital de la base de datos raster georreferenciada se realizó con aplicación de herramientas de sistema de información geográfica (Idrisi Kilimanjaro). El análisis de regresión múltiple efectuado a las variables generó un R2 que explica el 89,77 % de la variabilidad de CE (a < 0,01). Los resultados se exponen a nivel diagnóstico y zonificación del NC, donde la mayor influencia de la escorrentía se relaciona con las variables cobertura vegetal y uso del suelo.

Propuesta metodológica para la evaluación de tierras periféricas al oasis irrigado de Lavalle, Mendoza (Argentina)

La factibilidad de obtener productos agrícolas de calidad, irrigados con agua salina, hace necesario evaluar áreas periféricas al oasis irrigado para determinar su aptitud para el cultivo. El objetivo es articular diversas metodologías para cartografiar y evaluar unidades ecológicamente homogéneas en tierras marginales de Mendoza utilizando las comunidades vegetales como indicador. Se relevó un área piloto mediante procesamiento de imagen LANDSAT/TM y se analizó la vegetación, suelo y freática. Las unidades evaluadas y sus respectivos rangos de salinidad, en dS m-1, hasta 50 cm fueron: estepa de Heterostachys ritteriana, 91-83; matorral de Allenrolfea vaginata con H. ritteriana, 83-48; matorral abierto de A.vaginata con Prosopis strombulifera, 62-55; estepa abierta de Suaeda divaricata con Atriplex argentina, 52-83; matorral de S. divaricata con Lycium tenuispinosum, 40-43; bosquecillo abierto de Prosopis flexuosa, 37-26; matorral denso de Prosopis alpataco, 7-6. La concentración de sales solubles sobrepasa los niveles críticos tolerados por las plantas cultivadas. No se detectaron niveles freáticos en los primeros 15 m de profundidad. Se considera que los suelos tienen buen drenaje interno, por lo que pueden ser recuperados sin inversiones elevadas. Este enfoque metodológico mostró una buena correspondencia entre las comunidades vegetales, su expresión espectral y las condiciones de salinidad y drenaje del suelo.

El CIFOT como apoyo a la tarea empresarial : the CIFOT as support to the business task

Empresas como HEXA S.A. desean introducir SIG como elemento para incrementar el valor agregado de los proyectos de consultoría que realizan. Tal es el caso del trabajo encomendado por ellos al CIFOT titulado Esquema hidromorfológico de la cuenca del río Tunuyán Superior y clasificación de Usos del Suelo del Oasis Centro Oeste; Provincia de Mendoza. Se unifica en un único modelo digital una serie de cartas topográficas (IGM) digitalizan diversos niveles de información (curvas de nivel, hidrografía de la cuenca del río Tunuyán), red de caminos y su jerarquía. A partir de la base de datos lograda, se generan mapas temáticos de cada cuenca, apoyados con imágenes satelitales Landsat TM, que permiten identificar cobertura nivo- glacial y usos del suelo en el Oasis. Con esta información la empresa obtiene un modelo de simulación del Río Tunuyán para predecir el caudal que conduciría el río ante determinadas nevadas, por ejemplo. Se propone además un modelo de SIG para el monitoreo de la zona.

Modelo de organización de la información territorial : observatorio ambiental

La gestión del territorio no cuenta hasta el presente con una respuesta clara en cuanto a acciones a desarrollar para una concreta toma de decisiones. Para ello es necesario contar con información precisa y oportuna. Aquí los SIG se presentan como verdaderos sistemas de gestión en los que interactúan los componentes tecnológicos, organizacionales, metodológicos y estadísticos, que permiten elaborar planes de ordenamiento territorial y de manejo ambiental, monitorear la biodiversidad y construir indicadores ambientales. Su organización se basa en subsistemas tales como: • modelo de organización de la información espacial (que sustenta la plataforma SIG y de la Teledetección ), el que genera una base de datos relacional asociada a información contenida en el observatorio, representa cartográficamente los inicadores ambientales y el monitoreo de los mismos; • la metadata que incorpora las fuentes y datos vinculados a la documentación de datos geoespaciales digitales estandarizados y, por ultimo, • el modelo de monitoreo de la biodiversidad que conlleva a una serie de procesos tendientes especializar y analizar la dinámica presente en la cobertura vegetal a partir de imágenes del programa Landsat. El modelo involucra una integración de procesos apoyados en métodos científicos de teledetección y Sistemas de Información geográfica, permitiendo así el monitoreo para el diagnostico de estado actual de la cobertura marítima y terrestre, el análisis multitemporal, la espacialización y la transferencia de resultados. Un resultado directo de esta metodología es la detección de alertas tempranas.

Estructura forestal y estado de conservación de los bosques de Prosopis chilensis y Prosopis flexuosa (algarrobales) de la Depresión del Río Bermejo, noreste de San Juan

El ordenamiento forestal de los bosques del país es esencial para el manejo sostenible de los mismos. Para que esto sea posible, es necesario inventariar y conocer las características de los bosques nativos. En zonas áridas, donde las tasas de regeneración de los bosques son lentas, es necesario conocer la estructura forestal, estado sanitario, estado de conservación, etc. a la hora de proponer pautas de manejo. Bajo este marco se están llevando a cabo importantes estudios sobre los algarrobales del Monte, con resultados significativos para su conservación y ordenamiento. Este trabajo tiene como objetivo principal conocer la estructura y estado de conservación de los algarrobales de Prosopis chilensis y Prosopis flexuosa de la depresión del Río Bermejo, en el departamento de Jáchal (San Juan), aportando información de base para la conservación y manejo de estos bosques. Se efectuó un inventario que tuvo en cuenta parámetros dasonómicos, el estado de conservación y la forma de los árboles. Además, se generó un mapa de bosques, a través del procesamiento y clasificación de una imagen LANDSAT TM 5 (14/03/2005). A partir del mapeo, se obtuvieron cuatro tipos de bosques. Se realizó un Análisis de Componentes Principales, para verificar la separación entre sitios pertenecientes a los diferentes tipos de bosques y justificar dicha clasificación. Se describieron dos algarrobales de Prosopis chilensis (La Ciénaga y Cauces) y dos algarrobales de P. flexuosa (Huaco y Monte Grande). Los bosques de P. chilensis, presentaron mayor diversidad de especies que los de P. flexuosa y se encontraron sobre los cauces de ríos temporales. El Bosque La Ciénaga (93,1 árboles ha-1) presentó mayor densidad que el Bosque Cauces (30,6 árboles ha-1), y mayor cantidad de renovales (clase de regeneración). La densidad del total del Bosque Huaco fue considerablemente mayor (420,1 árboles ha-1) que el Bosque Monte Grande (82,5 árboles ha-1). Estos dos, presentaron diferencias en densidad de renovales, porcentaje de cobertura de Prosopis, y demás parámetros analizados, siendo el Bosque Huaco un bosque con buen estado sanitario, buena regeneración y mayor porcentaje de cobertura, a diferencia del Bosque Monte Grande, un bosque con un estado sanitario pobre, muy baja regeneración y alto grado de disturbio. Los datos analizados en este estudio sugieren que debido a la estructura forestal de los bosques, no es posible la extracción de productos forestales de alto valor económico. En todos los bosques se encontraron signos de uso por parte de los pobladores locales, siendo el Bosque Monte Grande el de mayor presión de uso. Conocer la estructura forestal y demás variables es indispensable a la hora de proponer pautas de manejo. En base a los resultados obtenidos, se revisaron las categorías de conservación del inventario de Bosques Nativos de San Juan. Se propone recategorizar los Bosques La Ciénaga y Huaco.

Updated bathymetric chart of the East Aral Sea

The Aral Sea is located in an arid region with much sand and salt deposits in the surrounding barren open land. Hence, significant displacements of sediments into the lakebed by the action of wind, water, gravity, or snow are likely. The bathymetry of the lake was last observed in the 1960s, and within the last half century, the structure of the lakebed has changed. Based on satellite observations of the temporal changes of shoreline (Landsat optical remote sensing) and water level (multi-mission satellite altimetry) over more than one decade an updated bathymetric chart for the East Basin of the Aral Sea has been generated. During this time, the geometry of the shallow East Basin experienced strong fluctuations due to the occurrence of periods of drying and strong inflow. By the year 2014 the East Basin fell dry. The dynamic behavior of the basin allowed for estimating the lake's bathymetry from a series of satellite-based information. The river mouth made its impression in the present East Aral Sea, because its shrinking led to the inflow of much sediment into the lake's interior. In addition, salt deposits along the shorelines increased the corresponding elevation, a phenomenon that is more pronounced in the reduced lakebed because of increased salinity. It must be noted that height estimates from satellite altimetry were only possible down to a minimum elevation of 27 m above sea level due to a lack of reliable altimetry data over the largely reduced water surface. In order to construct a complete bathymetric chart of the lakebed of the East Aral Sea heights below 27 m were obtained solely from Landsat optical images following the SRB (Selected Region Boundary) approach as described by Singh et al. (2015).

Seagrass time-series analysis products, in Moreton Bay, Australia, with links to GeoTIFFs

The spatial and temporal dynamics of seagrasses have been well studied at the leaf to patch scales, however, the link to large spatial extent landscape and population dynamics is still unresolved in seagrass ecology. Traditional remote sensing approaches have lacked the temporal resolution and consistency to appropriately address this issue. This study uses two high temporal resolution time-series of thematic seagrass cover maps to examine the spatial and temporal dynamics of seagrass at both an inter- and intra-annual time scales, one of the first globally to do so at this scale. Previous work by the authors developed an object-based approach to map seagrass cover level distribution from a long term archive of Landsat TM and ETM+ images on the Eastern Banks (~200 km**2), Moreton Bay, Australia. In this work a range of trend and time-series analysis methods are demonstrated for a time-series of 23 annual maps from 1988 to 2010 and a time-series of 16 monthly maps during 2008-2010. Significant new insight was presented regarding the inter- and intra-annual dynamics of seagrass persistence over time, seagrass cover level variability, seagrass cover level trajectory, and change in area of seagrass and cover levels over time. Overall we found that there was no significant decline in total seagrass area on the Eastern Banks, but there was a significant decline in seagrass cover level condition. A case study of two smaller communities within the Eastern Banks that experienced a decline in both overall seagrass area and condition are examined in detail, highlighting possible differences in environmental and process drivers. We demonstrate how trend and time-series analysis enabled seagrass distribution to be appropriately assessed in context of its spatial and temporal history and provides the ability to not only quantify change, but also describe the type of change. We also demonstrate the potential use of time-series analysis products to investigate seagrass growth and decline as well as the processes that drive it. This study demonstrates clear benefits over traditional seagrass mapping and monitoring approaches, and provides a proof of concept for the use of trend and time-series analysis of remotely sensed seagrass products to benefit current endeavours in seagrass ecology.

Mapped distribution of tidal flats across China, Manchuria and Korea (1952-1964)

A map of the tidal flats of China, Manchuria and Korea depicted in US Army Map Service Series L500, L542 and L552 topographic maps (compiled between 1950 and 1964). The topographic maps were georeferenced against prominent topographical features in L1T processed Landsat imagery and the foreshore flat class was manually delineated. For further information refer to Murray et. al. (2014).

Improved digital elevation model (DEM) for Lake Eyre, Australia

Here we demonstrate the applicability of using altimetry data and Landsat imagery to provide the most accurate digital elevation model (DEM) of Australia's largest playa lake - Lake Eyre. We demonstrate through the use of geospatial techniques a robust assessment of lake area and volume of recent lake-filling episodes whilst also providing the most accurate estimates of area and volume for larger lake filling episodes that occurred throughout the last glacial cycle. We highlight that at a depth of 25 m Lake Mega-Eyre would merge with the adjacent Lake Mega-Frome to form an immense waterbody with a combined area of almost 35,000 km**2 and a combined volume of ~520 km**3. This would represent a vast water body in what is now the arid interior of the Australian continent. The improved DEM is more reliable from a geomorphological and hydrological perspective and allows a more accurate assessment of water balance under the modern hydrological regime. The results presented using GLAS/ICESat data suggest that earlier historical soundings were correct and the actual lowest topographic point in Australia is -15.6 m below sea level. The results also contrast nicely the different basin characteristics of two adjacent lake systems; Lake Eyre and Lake Frome.

Time-series of seagrass and land cover maps from 1972 to 2010, in South East Queensland, Australia, with links to GeoTIFFs

Long term global archives of high-moderate spatial resolution, multi-spectral satellite imagery are now readily accessible, but are not being fully utilised by management agencies due to the lack of appropriate methods to consistently produce accurate and timely management ready information. This work developed an object-based remote sensing approach to map land cover and seagrass distribution in an Australian coastal environment for a 38 year Landsat image time-series archive (1972-2010). Landsat Multi-Spectral Scanner (MSS), Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) imagery were used without in situ field data input (but still using field knowledge) to produce land and seagrass cover maps every year data were available, resulting in over 60 map products over the 38 year archive. Land cover was mapped annually using vegetation, bare ground, urban and agricultural classes. Seagrass distribution was also mapped annually, and in some years monthly, via horizontal projected foliage cover classes, sand and deep water. Land cover products were validated using aerial photography and seagrass maps were validated with field survey data, producing several measures of accuracy. An average overall accuracy of 65% and 80% was reported for seagrass and land cover products respectively, which is consistent with other studies in the area. This study is the first to show moderate spatial resolution, long term annual changes in land cover and seagrass in an Australian environment, created without the use of in situ data; and only one of a few similar studies globally. The land cover products identify several long term trends; such as significant increases in South East Queensland's urban density and extent, vegetation clearing in rural and rural-residential areas, and inter-annual variation in dry vegetation types in western South East Queensland. The seagrass cover products show that there has been a minimal overall change in seagrass extent, but that seagrass cover level distribution is extremely dynamic; evidenced by large scale migrations of higher seagrass cover levels and several sudden and significant changes in cover level. These mapping products will allow management agencies to build a baseline assessment of their resources, understand past changes and help inform implementation and planning of management policy to address potential future changes.

(Appendix) Recent surface areas and historical lengths of glaciers from Patagonia and Tierra del Fuego, South America

Fluctuations in the length of 72 glaciers in the Northern and Southern Patagonia Icefield (NPI and SPI, respectively) and the Cordillera Darwin Icefield (CDI) were estimated between 1945 and 2005. The information obtained from historical maps based on 1945 aerial photographs was compared to ASTER and Landsat satellite images and to information found in the literature. The majority of glaciers have retreated considerably, with maximum values of 12.2 km for Marinelli Glacier in the CDI, 11.6 km for O'Higgins Glacier in the SPI and 5.7 km for San Rafael Glacier in the NPI. Among the 20 glaciers that have retreated the most relative to their size, small (less than 50 km**2) and medium (between 50 and 200 km**2) glaciers are the most affected. However, no direct relation between glacier retreat and size was found for the 72 glaciers studied. The highest percentage retreat in the CDI was by the CDI-03 Glacier (37.9%) and Marinelli Glacier (37.6%). In the SPI, relative retreats were heterogeneous and fluctuated between 27.2% (Amelia Glacier) and 0.4% (Viedma Glacier). In the NPI, relative retreat was very high for Strindberg and Cachet glaciers (35.9% and 27.6%, respectively) but for the remaining glaciers in this icefield it ranged between 11.8% (Piscis Glacier) and 3.6% (San Quintin Glacier). In addition to surface area, the surface slope (calculated on the basis of the DEM SRTM) was also related to the relative retreat and no straightforward relation was found. From a global point of view, we suggest that glacier retreat in the region is controlled firstly by atmospheric warming, as it has been reported in this area. Besides the general increase in temperature observed, no signal of a geographical pattern for the fluctuations in glacier length was found. Consequently, glaciers appear to initially react to local conditions most probably induced by their exposition, geometry and hypsometry. The heterogeneity of rates of retreat suggests that differences in basin geometry, glacier dynamics and response time are key features to explain fluctuations of each glacier.

Phytomass and soil carbon storage of different land cover classes in the Usa river basin

This study describes detailed partitioning of phytomass carbon (C) and soil organic carbon (SOC) for four study areas in discontinuous permafrost terrain, Northeast European Russia. The mean aboveground phytomass C storage is 0.7 kg C/m**2. Estimated landscape SOC storage in the four areas varies between 34.5 and 47.0 kg C/m**2 with LCC (land cover classification) upscaling and 32.5-49.0 kg C/m**2 with soil map upscaling. A nested upscaling approach using a Landsat thematic mapper land cover classification for the surrounding region provides estimates within 5 ± 5% of the local high-resolution estimates. Permafrost peat plateaus hold the majority of total and frozen SOC, especially in the more southern study areas. Burying of SOC through cryoturbation of O- or A-horizons contributes between 1% and 16% (mean 5%) of total landscape SOC. The effect of active layer deepening and thermokarst expansion on SOC remobilization is modeled for one of the four areas. The active layer thickness dynamics from 1980 to 2099 is modeled using a transient spatially distributed permafrost model and lateral expansion of peat plateau thermokarst lakes is simulated using geographic information system analyses. Active layer deepening is expected to increase the proportion of SOC affected by seasonal thawing from 29% to 58%. A lateral expansion of 30 m would increase the amount of SOC stored in thermokarst lakes/fens from 2% to 22% of all SOC. By the end of this century, active layer deepening will likely affect more SOC than thermokarst expansion, but the SOC stores vulnerable to thermokarst are less decomposed.

Forest disturbance map for the Carpathian ecoregion, 1984-2012

Detailed knowledge of forest cover dynamics is crucial for many applications from resource management to ecosystem service assessments. Landsat data provides the necessary spatial, temporal and spectral detail to map and analyze forest cover and forest change processes. With the opening of the Landsat archive, new opportunities arise to monitor forest dynamics on regional to continental scales. In this study we analyzed changes in forest types, forest disturbances, and forest recovery for the Carpathian ecoregion in Eastern Europe. We generated a series of image composites at five year intervals between 1985 and 2010 and utilized a hybrid analysis strategy consisting of radiometric change classification, post-classification comparison and continuous index- and segment-based post-disturbance recovery assessment. For validation of the disturbance map we used a point-based accuracy assessment, and assessed the accuracy of our forest type maps using forest inventory data and statistically sampled ground truth data for 2010. Our Carpathian-wide disturbance map achieved an overall accuracy of 86% and the forest type maps up to 73% accuracy. While our results suggested a small net forest increase in the Carpathians, almost 20% of the forests experienced stand-replacing disturbances over the past 25 years. Forest recovery seemed to only partly counterbalance the widespread natural disturbances and clear-cutting activities. Disturbances were most widespread during the late 1980s and early 1990s, but some areas also exhibited extensive forest disturbances after 2000, especially in the Polish, Czech and Romanian Carpathians. Considerable shifts in forest composition occurred in the Carpathians, with disturbances increasingly affecting coniferous forests, and a relative decrease in coniferous and mixed forests. Both aspects are likely connected to an increased vulnerability of spruce plantations to pests and pathogens in the Carpathians. Overall, our results exemplify the highly dynamic nature of forest cover during times of socio-economic and institutional change, and highlight the value of the Landsat archive for monitoring these dynamics.

The Lena River Delta - inventory of lakes and geomorphological terraces

This data set provides a detailed inventory of lakes in the Lena Delta, northern Siberia, with respect to the lakes' association with one of the three geomorphological main terraces of the Lena Delta. The inventory is based on Landsat-7 ETM+ image data and spatial analysis in a Geographical Information System (GIS). Several morphometric lake attributes were determined from the resulting dataset and statistically analyzed. Significant differences in the morphometric lake characteristics allowed the distinction of a mean lake type for each main terrace. The lake types reflect the special lithological and cryolithological conditions and geomorphological processes prevailing on each terrace. In Morgenstern et al. (2008), special focus was laid on the investigation of lake orientation and the discussion of possible mechanisms for the evolution of the second terrace's oriented lakes.