نتایج جستجو برای: داده های landsat

تعداد نتایج: 527839  

2017
Brian Woodward Peder Engelstad Anthony Vorster Christopher Beddow Stephanie Krail Amandeep Vashisht Paul Evangelista

This dataset provides a shapefile containing approximately 3500 polygons with the location, extent, size, and year of clearcut harvest events occurring between 1984 and 2015 in forested areas of the northern Colorado, Landsat WRS-2 scene Path 034, Row 032. Harvest events were modeled and mapped using a 32 year time series of Landsat imagery, the LandTrendr algorithm, and ancillary datasets. The...

Journal: :Remote Sensing 2009
Rudolf Richter Tobias W. Kellenberger Hermann Kaufmann

A comparison of topographic correction methods is conducted for Landsat-5 TM, Landsat-7 ETM+, and SPOT-5 imagery from different geographic areas and seasons. Three successful and known methods are compared: the semi-empirical C correction, the Gamma correction depending on the incidence and exitance angles, and a modified Minnaert approach. In the majority of cases the modified Minnaert approac...

ژورنال: :علوم آب و خاک 0
شهناز محمودی sh. mahmoudi مهدی نادری m. naderi جهانگرد محمدی j. mohammadi

این تحقیق با هدف تعیین پراکنش مکانی غلظت فلزات سنگین در کلاس های اندازه ای ذرات خاک با استفاده از انعکاس ثبت شده از ماهواره landsat etm+ در جنوب شهر اصفهان در نزدیکی معدن باما صورت گرفت. برای تحقق این هدف، 100 نمونه مرکب خـاک سطحی به طور تصادفی از منطقه مورد نظر جمع آوری شد. نمونه ها هوا خشک شده و کلاس های اندازه ای ذرات خاک 500-250، 250-125، 125-75، 75-50 و 50> میکرون بعد از پراکنده کردن کل خا...

2006
Paul Shane Frazier

The aim of this project was to determine the accuracy of using simple digital image processing techniques to map riverine water bodies with Landsat 5 TM data. This paper quantifies the classification accuracy of single band density slicing of Landsat 5 TM data to delineate water bodies on riverine floodplains. The results of these analyses are then compared to a 6-band maximum likelihood classi...

Journal: :Remote Sensing 2016
Marius Hauglin Hans Ole Ørka

Invasive species can be considered a threat to biodiversity, and remote sensing has been proposed as a tool for detection and monitoring of invasive species. In this study, we test the ability to discriminate between two tree species of the same genera, using data from Landsat 8 satellite imagery, aerial images, and airborne laser scanning. Ground observations from forest stands dominated by ei...

2007
P. Caccetta J. O’Connell J. Wallace X. Wu

In Australia, remotely sensed Landsat data is routinely used for mapping and monitoring the change in extent of woody perennial vegetation. Time-series remotely sensed satellite imagery and ground information is used to form multi-temporal classifications of presence/absence of woody cover, typically for state-based management and reporting of clearing. More recently, there has been increased i...

Journal: :Remote Sensing 2017
Ian Olthof

Extreme flood events in recent years in Canada have highlighted the need for historical information to better manage future flood risk. In this paper, a methodology to generate flood maps from Landsat to determine historical inundation frequency is presented for a region along the St-John River, New Brunswick, Canada that experiences annual springtime flooding from snowmelt and river ice. 1985–...

2017
Suraj Upadhaya

OF THESIS Use of Landsat Data to Characterize Burn Severity, Forest Structure and Invasion by Paulownia (Paulownia Tomentosa) in an Eastern Deciduous Forest, Kentucky Landsat imagery has been used successfully to assess burn severity and monitor postfire forest structure in a variety of ecosystems, but to date there are few documented studies on its application in the eastern deciduous forests ...

Journal: :Remote Sensing 2014
Tetsuji Ota Oumer S. Ahmed Steven E. Franklin Michael A. Wulder Tsuyoshi Kajisa Nobuya Mizoue Shigejiro Yoshida Gen Takao Yasumasa Hirata Naoyuki Furuya Takio Sano Sokh Heng Ma Vuthy

In this study, we test and demonstrate the utility of disturbance and recovery information derived from annual Landsat time series to predict current forest vertical structure (as compared to the more common approaches, that consider a sample of airborne Lidar and single-date Landsat derived variables). Mean Canopy Height (MCH) was estimated separately using single date, time series, and the co...

Journal: :Remote Sensing 2012
Oliver Cartus Josef Kellndorfer Markus Rombach Wayne S. Walker

We have investigated for forest plantations in Chile the stand-level retrieval of canopy height (CH) and growing stock volume (GSV) using Airborne Laser Scanner (ALS), ALOS PALSAR and Landsat. In a two-stage up-scaling approach, ensemble regression tree models (randomForest) were used to relate a suite of ALS canopy structure indices to stand-level in situ measurements of CH and GSV for 319 sta...

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