Abstract

This study is focused on detecting vegetation stress in natural and seminatural riparian wetland ecosystems. Wetland ecosystems play an important role at the local and global scale. They provide various ecosystem services as long as they are in good condition. The global climate change influences a local environment, in which wetlands health become an indicator of drought conditions. Persisting adverse conditions might lead to irreversible changes in these precious ecosystems. Hence, modern methods for the monitoring of these ecosystems are required to be developed. In the scope of this study, based on basic meteorological elements (air temperature and humidity) and canopy temperature from two different platforms (meteorological tower and Landsat-8 satellite), crop water stress index (CWSI) was proposed for riparian wetland habitats and wet meadows monitoring. The study was conducted in the Upper Biebrza Basin (NE, Poland). As a first step, CWSI was calculated based on meteorological measurements and compared with CWSI calculated for surrounding Landsat-8 pixels covered by the same land-use type as one being in the tower sensor field of view. CWSI from both sensors were in significant agreement. In the second step of the analysis, CWSI and selected optical indices were calculated for a longer period based on satellite data. Those indices were compared with test if they indicate the same conditions, or if their indications are inconsistent. Results show that CWSI and optical indices indicate different plant stress factors. Hence, for proper wetlands condition assessment, still more research is required to properly assess their conditions and its causes.

Highlights

  • W ETLAND ecosystems providing various important ecosystem services at different spatial scales

  • The main aims of this study are, first, to compare crop water stress index (CWSI) calculated on the basis of tower data with CWSI calculated on the basis of Landsat 8 thermal images, and second, to compare CWSI with optical indices (NDVI, EVI, SAVI, MSAVI, and NDMI) calculated on the basis of Landsat 8 operational land imager (OLI) bands

  • The results clearly show that daily mean CWSI values are underestimated

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Summary

Introduction

W ETLAND ecosystems providing various important ecosystem services at different spatial scales. Despite their land’s small coverage (from 2% to 6% of lands depending on the definition), they are an important provider of ecosystem services even on global scale [1], [2]. Wetlands stop sediments, remove water pollution, retain water, and much more [3]. Manuscript received March 3, 2020; revised April 22, 2020; accepted July 2, 2020. Date of publication July 13, 2020; date of current version July 22, 2020. Meteorological tower data were acquired in scope of research under Grant NCN 2012/05/B/NZ9/03467 Interception-Transpiration-Evaporation; Interdependencies of hydrological processes in Wetland Ecosystems (INTREV-WetEco). Meteorological tower data were acquired in scope of research under Grant NCN 2012/05/B/NZ9/03467 Interception-Transpiration-Evaporation; Interdependencies of hydrological processes in Wetland Ecosystems (INTREV-WetEco). (Corresponding author: Wojciech Ciezkowski.)

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