Landscape Heterogeneity of Riverine Wetlands of the Amazon Basin from a Remote Sensing Perspective UCSB – INPE - UW Leal A.K. Mertes Evlyn Novo Yosio Shimabukuro.

Slides:



Advertisements
Similar presentations
Big Cypress/Caddo Watershed Geomorphic Classification
Advertisements

The Flood hydrograph A brief explanation-
Contribution of Remote Sensing Technology to Catchment Water Resources Management Toshio Koike 1 and Dara Entekhabi 2 1 University of Tokyo 2 Massachusetts.
Regionalization of Methane Emission from the Amazon Basin with Microwave Remote Sensing John M. Melack University of California, Santa Barbara Laura L.
Riparian forest loss and landscape-scale change in Sudanian West Africa Jeremy I. Fisher John F. Mustard Geological Sciences Brown University August, 2004.
7.2 Describing Climates.
Development of Remote Sensing-based Predictive Models for the Management of Taste and Odor Events in Kansas Reservoirs Dr. Mark Jakubauskas Kansas Biological.
CHARACTERISTICS OF RUNOFF
An overview of HydroSHEDS HydroSHEDS World Wildlife Fund US in partnership with USGS, CIAT, TNC, CESR.
Caribbean Disaster Mitigation Project Caribbean Institute for Meteorology and Hydrology Impacts of Tropical Cyclones Horace H. P. Burton and Selvin DeC.
Carlisle Case Study Using an Atlas, describe the location of Carlise.
Geographic Distributions of Plant Diversity in the Southeastern US Aaron Moody, Bob Peet, Todd Jobe, Jen Costanza, Dahl Winters, Matt Simon NASA Biodiversity.
Field Museum CI AquaRAP Rapid Assessment of Aquatic Ecosystems An Interdisciplinary, International Program Developing Integrated Solutions For.
km Landsat TM and ETM from the Minthorn Springs node on the Umatilla River, Oregon. Assessing scales of thermal influence in alluvial floodplains.
Influence of Catchment Characteristics on Stream Nitrogen Transport to the Hood Canal Osborne, S.N.; Brett, M.T.; Richey, J.E.; Steinberg, P.D.; Newton,
Despite being large, low-relief, tropical river systems, the floodplains and wetlands of the Amazon and Congo Basins show markedly different surface water.
Remote Sensing of of Soils and Geomorphology. Soil Characteristics Soil is a mixture of inorganic mineral particles and organic matter of varying size.
Hydrological Modeling FISH 513 April 10, Overview: What is wrong with simple statistical regressions of hydrologic response on impervious area?
Why collect GPS data How are we going To find this trap???
Landscapes.
Biomes FIELD BIOLOGY & METHODOLOGY Fall 2014 Althoff Lecture 04.
Alluvial Fan 8-7 Delta.
Laurence Maurice Bourgoin Jean-Michel Martinez Pascal Kosuth Julien Grelaud (IRD, Institut de Recherche pour le Développement) and Eurides de Oliveira.
Predicting Sediment and Phosphorus Delivery with a Geographic Information System and a Computer Model M.S. Richardson and A. Roa-Espinosa; Dane County.
Conceptual Ecological Model of San Acacia Reach of Middle Rio Grande River – 2/13/07 1 st Draft Ibis Ecosystem Associates, Inc. Diversion & Regulation.
Potential predictability of seasonal mean river discharge in dynamical ensemble prediction using MRI/JMA GCM Tosiyuki Nakaegawa MRI, Japan.
Managing river and coastal environments: A continuing challenge 2010 China floods Duration10 May - Present Damage41 billion US$ Fatalities dead,
Stream water chemistry in three meso-scale hydrologic basins in Eastern Amazonian Ricardo de O. Figueiredo 1, Daniel Markewitz 2, Eric A. Davidson 3, Ewerton.
Chapter 16: Running Water. Hydrologic cycle The hydrologic cycle is a summary of the circulation of Earth’s water supply Processes involved in the hydrologic.
Temporal variability of Chlorophyll-a concentration in floodplain lakes in response to seasonality of Amazon River discharge Evlyn Moraes Novo, INPE Claudio.
Streams (Rivers). Runoff: H 2 0 that does not sink into ground Most ends up in streams.
 Comparing Vegetation in a Riparian Zone to an Upland Area in a Colorado Montane Forest By: Abby Branson Vegetation Ecology, Summer 2013 Mountain Research.
Applications of Spatial Statistics in Ecology Introduction.
7/24/02 MODIS Science Meeting Seasonal Variability Studies Across the Amazon Basin with MODIS Vegetation Indices Alfredo Huete 1, Kamel Didan 1, Piyachat.
September 16, 2008 R. Edward Beighley Civil, Construction and Environmental Engineering San Diego State University SWOT Hydrology Workshop The Ohio State.
To main objectives: Build a seamless, routed stream network across WAM tiles Apply a process based, riparian zone delineation tool Riparian Processes.
Hydrology of Colorado Water By Travis Hoesli. Hydrology of Colorado Unit Learning Objectives Recognize the Hydrologic Cycle that affects Colorado Water.
“Physical and Anthropogenic Controls of the Biogeochemistry of the Ji-Paraná River Basin (Western Amazônia)” 1 Ballester, M.V.R.; 1 Krusche, A.V.; 1 Kavaguishi,
Stream Erosion and Transport
The Drainage Basin System
Spatial distribution of snow water equivalent across the central and southern Sierra Nevada Roger Bales, Robert Rice, Xiande Meng Sierra Nevada Research.
Fluvial Geomorphology GRG 338-C Streamflow (Discharge)
Scaling Up Above Ground Live Biomass From Plot Data to Amazon Landscape Sassan S. Saatchi NASA/Jet Propulsion Laboratory California Institute of Technology.
An Introduction to Ecology and the Biosphere Chapter 52.
Temporal and Spatial Pattern of Thermokarst Lake Area Change at Yukon Flats, Alaska Min Joel C. Rowland, Cathy J. Wilson, Garrett L.
LBA-ECO 9th Science Team Meeting Seasonal changes in phytoplankton distribution in floodplain lakes in response to Amazon flood pulse derived from MODIS.
DEMs Download from Seamless Server Project Mosaic Calculate Slope Create a DEM (ArcGIS)
What can different maps tells us about the world? Thematic Maps! BP#19.
Surface Water Surface runoff - Precipitation or snowmelt which moves across the land surface ultimately channelizing into streams or rivers or discharging.
Characterizing Seasonal Patterns of Leaf Phenology in Central Amazon Várzea Forest with the MODIS Enhanced Vegetation Index L. Hess, P. Ratana, A. Huete,
Watersheds This is an area where rain joins together to flow into streams, rivers, lakes, or wetlands. This is the drainage basin. The watershed boundary.
Transpiration Similar to evaporation, this is the loss of water through plants. – Pores in leaves (stomata) are opened to release oxygen and water vapor.
Class 25: Hydrology. Class updates:  Reading: Section Today’s topics:  Water on Earth  Water transport  Water and geology Class 25: Hydrology.
Fluvial Process and landform. Origin of River Stream channels can be created on a newly exposed surface or develop by the expansion of an existing channel.
RACC High School Training June 26, 2012 Jody Stryker University of Vermont Introduction to Watershed Hydrology.
Chapter 26 Modern Earth Science
Regional wetland distributions and methane emissions in the Amazon basin John Melack and Laura Hess University of California, Santa Barbara Bruce Forsberg.
Biomes and Aquatic Ecosystems
Ecosystem Model Evaluation
in the Neversink River Basin, New York
Comparative efficiency in nutrient retention between natural ecosystems vegetation and agro-systems vegetation Iuliana Florentina Gheorghe Ecological.
Evaluating Land-Use Classification Methodology Using Landsat Imagery
Changes in Precipitation and Drought
Meandering Rivers.
The storm hydrograph.
Map 12b: Contemporary land cover – percent pasture per 0.5
Image Information Extraction
Reservoirs With the exception of Caddo, all of the lakes in Texas are reservoirs, which are artificial lakes used to store water. Reservoirs may be created.
The Physical Geography of Latin America
Workshop on hyper-resolution land surface modeling
Presentation transcript:

Landscape Heterogeneity of Riverine Wetlands of the Amazon Basin from a Remote Sensing Perspective UCSB – INPE - UW Leal A.K. Mertes Evlyn Novo Yosio Shimabukuro Thelma Krug Jeffrey Richey Funding - NASA & W. Alton Jones Foundation

OUTLINE  Relationships among floodplain morphology, vegetation distribution, and inundation hydrology.  Floodplain morphology and inundation hydrology 1. along mainstem Amazon River 2. across Amazon Basin.  Classification procedure for optical data.  Trends in spatial patterns of Amazon Basin wetlands

Inundation Hydrology

Amazon Basin River Network - Digital Chart of the World

Amazon Basin Hydrology (based on unpublished data provided by Dunne & Newton) Average total rainfall - mm Coefficient of variation (by month) Averages based on data for

Vegetation Zonation on Amazon River Wetlands (After Junk 1970) low water

Methodology for Optical Data

forest Classification of SMA Data turbid shade/clear vegetation color composite classified v t sh senesced/bare turbid water clear water macrophyte

Amazon Mainstem Floodplain - Landsat Mosaic

Classified Mainstem Mosaic

FOREST I (LO DENSITY) FOREST II (HI DENSITY) MACROPHYTE I/ PASTURE (HI DENSITY) MACROPHYTE II/PASTURE (LO DENSITY) TURBID WATER CLEAR WATER CLEARWATER W/LOW VEGETATION SENESCED OR DEFOLIATED VEGETATION UNCLASSIFIED MUDDY PASTURE/MACROPHYTE BOTTOM REFLECTANCE SAND BARS URBAN/BARE PASTURE a b c a b c

Vegetation Zonation on Amazon River Wetlands (After Junk 1970) low water

Amazon Mainstem Floodplain - Areal (km 2 ) & Percent Cover  lo trees 8776 hi trees lo macro 3328 hi macro 7595 clear turbid 1010 lo veg 2708 dry veg 6383 pasture 173 sand bar  90,275 all  64,383 just veg 25,546 just water

Summary for Mainstem  Landform and vegetation heterogeneity is most diverse in Zones 2 & 3 where there is significant mixing of river water and floodplain water during high water. Floodplain landforms available for colonization by vegetation include scroll bars, swales, lake shores, lake deltas, and floodplain drainage channels.  Zones 1 & 4 have less heterogeneous vegetation cover. However, where landforms are similar to the middle reaches, the spatial distribution of vegetation is similar.  Decreased forest cover downstream result of marked seasonality of precipitation and longer history of forest cutting