Télédétection du carbone organique des lacs boréaux

Une estimation des quantités de carbone organique dissous dans les millions de lacs boréaux est nécessaire pour améliorer notre connaissance du cycle global du carbone. Les teneurs en carbone organique dissous sont corrélées avec les quantités de matière organique dissoute colorée qui est visible depuis l’espace. Cependant, les capteurs actuels offrent une radiométrie et une résolution spatiale qui sont limitées par rapport à la taille et l’opacité des lacs boréaux. Landsat 8, lancé en février 2013, offrira une radiométrie et une résolution spatiale améliorées, et produira une couverture à grande échelle des régions boréales. Les limnologistes ont accumulé des années de campagnes de terrain dans les régions boréales pour lesquelles une image Landsat 8 sera disponible. Pourtant, la possibilité de combiner des données de terrain existantes avec une image satellite récente n'a pas encore été évaluée. En outre, les différentes stratégies envisageables pour sélectionner et combiner des mesures répétées au cours du temps, sur le terrain et depuis le satellite, n'ont pas été évaluées. Cette étude présente les possibilités et les limites d’utiliser des données de terrain existantes avec des images satellites récentes pour développer des modèles de prédiction du carbone organique dissous. Les méthodes se basent sur des données de terrain recueillies au Québec dans 53 lacs boréaux et 10 images satellites acquises par le capteur prototype de Landsat 8. Les délais entre les campagnes de terrain et les images satellites varient de 1 mois à 6 ans. Le modèle de prédiction obtenu se compare favorablement avec un modèle basé sur des campagnes de terrain synchronisées avec les images satellite. L’ajout de mesures répétées sur le terrain, sur le satellite, et les corrections atmosphériques des images, n’améliorent pas la qualité du modèle de prédiction. Deux images d’application montrent des distributions différentes de teneurs en carbone organique dissous et de volumes, mais les quantités de carbone organique dissous par surface de paysage restent de même ordre pour les deux sites. Des travaux additionnels pour intégrer les sédiments dans l’estimation sont nécessaires pour améliorer le bilan du carbone des régions boréales.

Inférence robuste à la présence des valeurs aberrantes dans les enquêtes

Cette thèse comporte trois articles dont un est publié et deux en préparation. Le sujet central de la thèse porte sur le traitement des valeurs aberrantes représentatives dans deux aspects importants des enquêtes que sont : l’estimation des petits domaines et l’imputation en présence de non-réponse partielle. En ce qui concerne les petits domaines, les estimateurs robustes dans le cadre des modèles au niveau des unités ont été étudiés. Sinha & Rao (2009) proposent une version robuste du meilleur prédicteur linéaire sans biais empirique pour la moyenne des petits domaines. Leur estimateur robuste est de type «plugin», et à la lumière des travaux de Chambers (1986), cet estimateur peut être biaisé dans certaines situations. Chambers et al. (2014) proposent un estimateur corrigé du biais. En outre, un estimateur de l’erreur quadratique moyenne a été associé à ces estimateurs ponctuels. Sinha & Rao (2009) proposent une procédure bootstrap paramétrique pour estimer l’erreur quadratique moyenne. Des méthodes analytiques sont proposées dans Chambers et al. (2014). Cependant, leur validité théorique n’a pas été établie et leurs performances empiriques ne sont pas pleinement satisfaisantes. Ici, nous examinons deux nouvelles approches pour obtenir une version robuste du meilleur prédicteur linéaire sans biais empirique : la première est fondée sur les travaux de Chambers (1986), et la deuxième est basée sur le concept de biais conditionnel comme mesure de l’influence d’une unité de la population. Ces deux classes d’estimateurs robustes des petits domaines incluent également un terme de correction pour le biais. Cependant, ils utilisent tous les deux l’information disponible dans tous les domaines contrairement à celui de Chambers et al. (2014) qui utilise uniquement l’information disponible dans le domaine d’intérêt. Dans certaines situations, un biais non négligeable est possible pour l’estimateur de Sinha & Rao (2009), alors que les estimateurs proposés exhibent un faible biais pour un choix approprié de la fonction d’influence et de la constante de robustesse. Les simulations Monte Carlo sont effectuées, et les comparaisons sont faites entre les estimateurs proposés et ceux de Sinha & Rao (2009) et de Chambers et al. (2014). Les résultats montrent que les estimateurs de Sinha & Rao (2009) et de Chambers et al. (2014) peuvent avoir un biais important, alors que les estimateurs proposés ont une meilleure performance en termes de biais et d’erreur quadratique moyenne. En outre, nous proposons une nouvelle procédure bootstrap pour l’estimation de l’erreur quadratique moyenne des estimateurs robustes des petits domaines. Contrairement aux procédures existantes, nous montrons formellement la validité asymptotique de la méthode bootstrap proposée. Par ailleurs, la méthode proposée est semi-paramétrique, c’est-à-dire, elle n’est pas assujettie à une hypothèse sur les distributions des erreurs ou des effets aléatoires. Ainsi, elle est particulièrement attrayante et plus largement applicable. Nous examinons les performances de notre procédure bootstrap avec les simulations Monte Carlo. Les résultats montrent que notre procédure performe bien et surtout performe mieux que tous les compétiteurs étudiés. Une application de la méthode proposée est illustrée en analysant les données réelles contenant des valeurs aberrantes de Battese, Harter & Fuller (1988). S’agissant de l’imputation en présence de non-réponse partielle, certaines formes d’imputation simple ont été étudiées. L’imputation par la régression déterministe entre les classes, qui inclut l’imputation par le ratio et l’imputation par la moyenne sont souvent utilisées dans les enquêtes. Ces méthodes d’imputation peuvent conduire à des estimateurs imputés biaisés si le modèle d’imputation ou le modèle de non-réponse n’est pas correctement spécifié. Des estimateurs doublement robustes ont été développés dans les années récentes. Ces estimateurs sont sans biais si l’un au moins des modèles d’imputation ou de non-réponse est bien spécifié. Cependant, en présence des valeurs aberrantes, les estimateurs imputés doublement robustes peuvent être très instables. En utilisant le concept de biais conditionnel, nous proposons une version robuste aux valeurs aberrantes de l’estimateur doublement robuste. Les résultats des études par simulations montrent que l’estimateur proposé performe bien pour un choix approprié de la constante de robustesse.

Vegetation changes in a river oasis on the southern rim of the Taklamakan Desert in China between 1956 and 2000

The indigenous vegetation surrounding the river oases on the southern rim of the Taklamakan Desert has drastically diminished due to overexploitation as a source of fodder, timber and fuel for the human population. The change in the spatial extent of landscape forms and vegetation types around the Qira oasis was analyzed by comparing SPOT satellite images from 1998 with aerial photographs from 1956. The analysis was supplemented by field surveys in 1999 and 2000. The study is part of a joint Chinese-European project with the aim of assessing the current state of the foreland vegetation, of gathering information on the regeneration potential and of suggesting procedures for a sustainable management. With 33 mm of annual precipitation, plants can only grow if they have access to groundwater, lakes or rivers. Most of the available water comes into the desert via rivers in the form of seasonal flooding events resulting from snow melt in the Kun Lun Mountains. This water is captured in canal systems and used for irrigation of arable fields. Among the eight herbaceous and woody vegetation types and the type of open sand without any plant life that were mapped in 2000 in the oasis foreland, only the latter, the oasis border between cultivated land and open Populus euphratica forests and Tamarix ramosissima-Phragmites australis riverbed vegetation could be clearly identified on the photographs from 1956. The comparison of the images revealed that the oasis increased in area between 1956 and 2000. Shifting sand was successfully combated near to the oasis borders but increased in extent at the outward border of the foreland vegetation. In contrast to expectations, the area covered with Populus trees was smaller in 1956 than today due to some new forests in the north of the oasis that have grown up since 1977. Subfossil wood and leaf remnants of Populus euphratica that were found in many places in the foreland must have originated from forests destroyed before 1956. In the last 50 years, the main Qira River has shifted its bed significantly northward and developed a new furcation with a large new bed in 1986. The natural river dynamics are not only an important factor in forming the oasis’ landscape but also in providing the only possible regeneration sites for all occurring plant species. The conclusion of the study is that the oasis landscape has changed considerably in the last 50 years due to natural floodings and to vegetation degradation by human overexploitation. The trend towards decreasing width of the indigenous vegetation belt resulting from the advancing desert and the expansion of arable land is particularly alarming because a decrease in its protective function against shifting sand can be expected in the future.

HidroSIG: un sistema de información geográfica para la gestión de recursos naturales y modelación del medio ambiente

This paper describes HidroGIS, a GIS platform developed by Water Resources Program at Universidad Nacional de Colombia at Medellín. HidroSIG is a tool for hydrological variables visualization and analysis, using a set of modules that make this software a powerful tool for hydrological modeling. HidroSIG has tools for digital terrain models processing, water supply estimation using long term water balance in watersheds, a rainfall-runoff model, a model for landslide susceptibility estimation, an one-dimensional pollutant transport model, tools for homogeneity analysis in time series and tools for satellite images classification. The tools in development status are also described

Utilización de software libre para el análisis de la evolución de usos del suelo en la cuenca del Segura mediante teledetección

En este trabajo se describe la utilización de herramientas de software libre, básicamente GRASS y R, para obtener una serie de mapas de coberturas del suelo (1976-2006) a partir de imágenes de satélite Landsat MSS y Landsat TM. Se trata de un proyecto concedido a un año, por lo que se requería una metodología que permitiera realizar el análisis de forma rápida y sencilla, aún tratando de aplicar técnicas de clasificación avanzadas. Dada la complejidad del trabajo y la premura de tiempo, se ha tratado de automatizar gran parte del trabajo mediante diversos scripts con BASH y R. (...)

Sampling uncertainty properties of cloud fraction estimates from random transect observations

[1] Cloud cover is conventionally estimated from satellite images as the observed fraction of cloudy pixels. Active instruments such as radar and Lidar observe in narrow transects that sample only a small percentage of the area over which the cloud fraction is estimated. As a consequence, the fraction estimate has an associated sampling uncertainty, which usually remains unspecified. This paper extends a Bayesian method of cloud fraction estimation, which also provides an analytical estimate of the sampling error. This method is applied to test the sensitivity of this error to sampling characteristics, such as the number of observed transects and the variability of the underlying cloud field. The dependence of the uncertainty on these characteristics is investigated using synthetic data simulated to have properties closely resembling observations of the spaceborne Lidar NASA-LITE mission. Results suggest that the variance of the cloud fraction is greatest for medium cloud cover and least when conditions are mostly cloudy or clear. However, there is a bias in the estimation, which is greatest around 25% and 75% cloud cover. The sampling uncertainty is also affected by the mean lengths of clouds and of clear intervals; shorter lengths decrease uncertainty, primarily because there are more cloud observations in a transect of a given length. Uncertainty also falls with increasing number of transects. Therefore a sampling strategy aimed at minimizing the uncertainty in transect derived cloud fraction will have to take into account both the cloud and clear sky length distributions as well as the cloud fraction of the observed field. These conclusions have implications for the design of future satellite missions. This paper describes the first integrated methodology for the analytical assessment of sampling uncertainty in cloud fraction observations from forthcoming spaceborne radar and Lidar missions such as NASA's Calipso and CloudSat.

Use of remote sensing to measure change in the extent of habitat for the critically endangered Jerdon's Courser Rhinoptilus bitorquatus in India

Jerdon's Courser Rhinoptilus bitorquatus is one of the most endangered and least understood birds in the world. It is endemic to scrub habitats in southeast India which have been lost and degraded because of human land use. We used satellite images from 1991 and 2000 and two methods for classifying land cover to quantify loss of Jerdon's Courser habitat. The scrub habitats on which this species depends decreased in area by 11-15% during this short period (9.6 years), predominantly as a result of scrub clearance and conversion to agriculture. The remaining scrub patches were smaller and further from human settlements in 2000 than in 1991, implying that much of the scrub loss had occurred close to human population centres. We discuss the implications of our results for the conservation of Jerdon's Courser and the use of remote sensing methods in conservation.

Global burned-land estimation in Latin America using MODIS composite data

This paper presents results of the AQL2004 project, which has been develope within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLatif). The project intended to obtain monthly burned-land maps of the entire region, from Mexico to Patagonia, using MODIS (moderate-resolution imaging spectroradiometer) reflectance data. The project has been organized in three different phases: acquisition and preprocessing of satellite data; discrimination of burned pixels; and validation of results. In the first phase, input data consisting of 32-day composites of MODIS 500-m reflectance data generated by the Global Land Cover Facility (GLCF) of the University of Maryland (College Park, Maryland, U.S.A.) were collected and processed. The discrimination of burned areas was addressed in two steps: searching for "burned core" pixels using postfire spectral indices and multitemporal change detection and mapping of burned scars using contextual techniques. The validation phase was based on visual analysis of Landsat and CBERS (China-Brazil Earth Resources Satellite) images. Validation of the burned-land category showed an agreement ranging from 30% to 60%, depending on the ecosystem and vegetation species present. The total burned area for the entire year was estimated to be 153 215 km2. The most affected countries in relation to their territory were Cuba, Colombia, Bolivia, and Venezuela. Burned areas were found in most land covers; herbaceous vegetation (savannas and grasslands) presented the highest proportions of burned area, while perennial forest had the lowest proportions. The importance of croplands in the total burned area should be taken with reserve, since this cover presented the highest commission errors. The importance of generating systematic products of burned land areas for different ecological processes is emphasized.

Terraços da margem leste da Laguna dos Patos, Litoral Médio do Rio Grande do Sul: estratigrafia e evolução holocênica

O presente trabalho discute os terraços lagunares da margem leste da Laguna dos Patos, localizados próximo à cidade de Mostardas. Através desse estudo é apresentado um novo modelo evolutivo para os últimos 5.000 anos no Litoral Médio do Rio Grande do Sul. Novas ferramentas foram utilizadas pela primeira vez no estudo da planície costeira do Rio Grande do Sul. Com respeito a aquisição dos dados de subsuperfície foi utilizado com êxito um GPR (Ground Penetretion Radar). Na análise e interpretação dos dados foi feita uma tentativa de aplicação da estratigrafia de seqüências. Através do uso de um scanner foram elaborados perfis dos testemunhos de sondagem, identificando aspectos distintos na composição e porosidade de diferentes litologias. Outras ferramentas utilizadas constam de sensoriamento remoto, nivelamento altimétrico e batimétrico, vibracore e datação radiométrica. Dessa forma, foram definidas três feições de terraceamento lagunar de idade holocênica na área de estudo, cada uma relacionada a um nível lagunar distinto. Através dos dados obtidos em subsuperfície foi possível traçar um esboço cronoestratigráfico, bem como uma curva de variação relativa do nível lagunar para a região. Também, como resultado dos dados geológicos de superfície, associados a novas interpretações baseadas em fotografias aéreas e imagens de satélite, foi elaborado um mapa geológico atualizado.

Revitalização do centro histórico de São Paulo e habitação popular: microeconomia e microgerografia

Esta tese de doutorado estuda a produção de unidades habitacionais para famílias de baixa renda coordenada com o programa de revitalização da região central do município de São Paulo. O estudo recupera o discurso da teoria microeconômica tradicional aplicada a estudos urbanos e o contrapõe a um discurso alternativo. Foi criada uma base de dados original na forma de um levantamento dos imóveis subutilizados nos distritos Sé e República a partir de visitas a campo, com observações diretas dos imóveis e utilizando técnicas de identificação por imagens de satélite e sistemas de geoprocessamento para avaliar a extensão e os padrões da degradação imobiliária. Os resultados da análise do banco de dados demonstram a plausibilidade do discurso alternativo e apontam para alguns fatores significativos que contribuem para o atual estado de degradação. Retoma-se então a análise da política de repovoamento da região central por meio de um programa de moradias para famílias de baixa renda e mostra-se como as técnicas empregadas permitem avaliar as razões para o baixo desempenho dessa agenda política no contexto de um amplo programa de revitalização urbana.

Análise de transformações geométricas para o georreferenciamento de imagens do satélite CBERS-1

Neste trabalho serão descritos métodos e técnicas na análise de transformações geométricas para o georreferenciamento de imagens do satélite CBERS I, utilizando o sensor CCD na região de Porto Alegre, com a utilização das transformações afim e equações projetivas e com o uso de pontos de apoio coletados com receptor GPS. Os resultados experimentais obtidos com as transformações afim e equações projetivas são animadores, recomendando-se então continuar os estudos para as imagens do CBERS-I que pode ser um atalho importante para atualizar a cartografia regional brasileira, pois neste caso do sensor CCD se vislumbra a possibilidade de se gerarem cartas imagens nas escalas de 1:100.000 e 1:50.000.

Análise tecnológica sobre os aspectos ambientais de empreendimentos hoteleiros da Praia de Ponta Negra Natal/RN: um modelo de sistema de gestão ambiental

The present work aimed the elaboration of an environmental study focused on the hotel sector in order to present an analysis of the environmental aspects of Ponta Negra Beach, in Natal, RN, Brazil and also the aspects of the small and medium hotels existing in this area. By means of this work, it is possible to elaborate a model of a simplified System of Environmental Management which can attend to the exigencies required by NBR ISO 14001: 2004, as well as to present economical viability and possibility to be implemented in a way that hotels may converge to the sustainable environmental development of the tourism in Ponta Negra Beach. The research methodology presents itself divided into three items: execution of the environmental characterization of Ponta Negra Beach, by way of technical visits and interpretation of satellite images and cartograms of the main environmental characteristics of the region; execution of the work already made concerning the development, application and interpretation of the evaluation of the environmental aspects of each hotel, considering the hotels and the period of data collection, these used in evaluation, research instrument and a description of the procedure utilized for the analysis of the collected data and the utilized methodology for the elaboration of a model of a simplified System of Environmental Management. In a general way, it has been concluded that the practices executed by hotels in Ponta Negra Beach are impact-like and harmful to the environment. The simple implementation of analysis procedures and control of the environmental aspects could suggestively contribute to the reduction of environmental impacts promoted by the hotel section at this beach and in the nearby areas. It had been noticed that the study contributed to the sensitization of managers concerning the environmental problems since, in many other times, the detected problem was, in fact, the non-acquaintance about the environmental aspects and impacts from those hotels administrators, because of the lack of surveys and studies about the theme. It had also been noticed the arousing of a possible environmental attitude from some managers

Uso do sensoriamento remoto orbital no monitoramento da dispersão de macrófitas nos reservatórios do complexo Tietê

A presença de algumas substâncias na água, como pigmentos fotossintetizantes, particulados, etc., afeta sua cor, provocando mudanças na radiância da água registrada por sensores orbitais. Nesse sentido, o sensoriamento remoto pode se constituir em uma fonte complementar de dados para o monitoramento da qualidade da água em grandes reservatórios (Novo et al., 1994). No contexto de um projeto de pesquisa realizado na AES Tietê S.A., com o objetivo de desenvolver técnicas para a avaliação da área com infestação de plantas aquáticas, imagens orbitais multiespectrais foram usadas tanto para mapear a dispersão espacial e estimar a área de ocorrência de macrófitas aquáticas, em duas épocas distintas, quanto para orientar a definição de pontos de amostragem in loco, visando a coleta e posterior análise da água e de sedimentos nos reservatórios. Este trabalho apresenta uma descrição do procedimento metodológico adotado na análise das imagens multiespectrais, bem como os resultados obtidos na caracterização dos reservatórios de Barra Bonita, Bariri, Ibitinga, Promissão e Nova Avanhandava, em termos de seu dimensionamento, variabilidade espectral da água e presença de macrófitas emersas, nas duas épocas do ano consideradas.

Detection and thinning of edges in previously known directions

This work presents a study on the generation of digital masks aiming at edge detection with previously known directions. This solution is important when edge direction is available either from a direction histogram or from a prediction based on camera and object models. A modification in the non-maximum suppression method of thinning is also presented enabling the comparison of local maxima for any edge directions. Results with a synthetic image and with crops of a CBERS satellite images are presented showing an example with its application in road detection, provided that directions are previously known.

Análise fitoecológica do manguezal e ocupação das margens do estuário hipersalino apodi/mossoró (rn brasil) a biotecnologia vegetal como alternativa para a cotonicultura

The mangrove is a coastal ecosystem of the big ecological importance, showing high fragility front by natural process and the human interventions in the coastal zone. This research has objective to analyses the relation between mangrove species distribution and geochemical parameters variation of the water and soil in Apodi/Mossoro estuary, located in the Rio Grande do Norte state north coastline. The results were obtained from floristic and structural analysis of the vegetation and Quick Bird satellite images interpretation (collected in 2006 year), manipulated with ENVI 4.3 and ArcGIS 9.2 software s. This estuary was characterized by to presents a gradient of the salinity around 40 kilometers extension, finding amount between 50 and 90 g/l-1. Will be identified the formation of the mix vegetation formation in the estuary mount, where the water salinity no show express wide variation on seawater (36 g/l-1), finding species: Rhizophora mangle L., Laguncularia racemosa (L.) C. F. Gaertn, Avicennia schaueriana Stap. & Leechman e Avicennia germinans L. Along of the estuary, have a streak formation of the vegetation composed by Avicennia spp. and L. racemosa. In high estuary, where the salinities value stay above 60 g/l-1, only A. germinans predominate in dwarf form. In this sense, the salinity is as a limiting factor of stress on the mangrove vegetation as it enters the estuary, this parameter should be taken into account when drawing up management plans and environmental restoration in the estuary in question